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Udemy - Advanced AI Deep Reinforcement Learning in Python (11.2024)

  • 6 - Deep Q-Learning/7 -Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6 - Deep Q-Learning/8 -Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.2 MB
  • 7 - A3C/5 -A3C - Code pt 4.mp4 193.3 MB
  • 2 - The Basics of Reinforcement Learning/2 -Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • 7 - A3C/4 -A3C - Code pt 3.mp4 88.6 MB
  • 8 - Theano and Tensorflow Basics Review/4 -(Review) Tensorflow Neural Network in Code.mp4 82.2 MB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 8 - Theano and Tensorflow Basics Review/1 -(Review) Theano Basics.mp4 81.9 MB
  • 1 - Introduction and Logistics/2 -Where to get the Code.mp4 76.8 MB
  • 7 - A3C/1 -A3C - Theory and Outline.mp4 75.2 MB
  • 8 - Theano and Tensorflow Basics Review/2 -(Review) Theano Neural Network in Code.mp4 71.0 MB
  • 2 - The Basics of Reinforcement Learning/11 -Q-Learning.mp4 70.3 MB
  • 8 - Theano and Tensorflow Basics Review/3 -(Review) Tensorflow Basics.mp4 66.5 MB
  • 7 - A3C/3 -A3C - Code pt 2.mp4 60.4 MB
  • 2 - The Basics of Reinforcement Learning/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 58.2 MB
  • 2 - The Basics of Reinforcement Learning/4 -Markov Decision Processes (MDPs).mp4 53.3 MB
  • 1 - Introduction and Logistics/1 -Introduction and Outline.mp4 52.9 MB
  • 7 - A3C/2 -A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 2 - The Basics of Reinforcement Learning/6 -Value Functions and the Bellman Equation.mp4 50.5 MB
[磁力链接] 添加时间:2025-07-24 大小:3.1 GB 最近下载:2025-10-01 热度:129

Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python (10.2022)

  • 06 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.mp4 183.7 MB
  • 04 - DDPG (Deep Deterministic Policy Gradient)/005 DDPG Code (part 1).mp4 130.3 MB
  • 03 - A2C (Advantage Actor-Critic)/010 A2C.mp4 122.6 MB
  • 06 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.3 MB
  • 04 - DDPG (Deep Deterministic Policy Gradient)/004 MuJoCo.mp4 98.0 MB
  • 05 - ES (Evolution Strategies)/007 ES for Flappy Bird in Code.mp4 95.8 MB
  • 08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.2 MB
  • 03 - A2C (Advantage Actor-Critic)/008 Environment Wrappers.mp4 84.5 MB
  • 08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.4 MB
  • 07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4 67.5 MB
  • 03 - A2C (Advantage Actor-Critic)/001 A2C Section Introduction.mp4 59.6 MB
  • 07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 58.8 MB
  • 01 - Welcome/002 Outline.mp4 53.7 MB
  • 08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 53.3 MB
  • 03 - A2C (Advantage Actor-Critic)/002 A2C Theory (part 1).mp4 51.6 MB
  • 03 - A2C (Advantage Actor-Critic)/007 Multiple Processes.mp4 46.8 MB
  • 05 - ES (Evolution Strategies)/002 ES Theory.mp4 45.9 MB
  • 04 - DDPG (Deep Deterministic Policy Gradient)/006 DDPG Code (part 2).mp4 40.9 MB
  • 09 - Appendix FAQ Finale/002 BONUS Lecture.mp4 39.6 MB
  • 02 - Review of Fundamental Reinforcement Learning Concepts/003 Markov Decision Processes (MDPs).mp4 38.0 MB
[磁力链接] 添加时间:2025-07-08 大小:2.1 GB 最近下载:2025-09-30 热度:60

Udemy - Artificial Intelligence Reinforcement Learning in Python (12.2024)

  • 11 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.4 MB
  • 4 - Markov Decision Proccesses/11 -Bellman Examples.mp4 91.3 MB
  • 10 - Stock Trading Project with Reinforcement Learning/1 -Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8 - Approximation Methods/7 -Approximation Methods for Control Code.mp4 81.5 MB
  • 2 - Return of the Multi-Armed Bandit/16 -Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5 - Dynamic Programming/5 -Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10 - Stock Trading Project with Reinforcement Learning/7 -Code pt 2.mp4 68.5 MB
  • 6 - Monte Carlo/5 -Monte Carlo Control in Code.mp4 67.5 MB
  • 1 - Welcome/5 -Warmup.mp4 65.6 MB
  • 8 - Approximation Methods/5 -Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4 - Markov Decision Proccesses/5 -Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5 - Dynamic Programming/2 -Iterative Policy Evaluation.mp4 63.7 MB
  • 5 - Dynamic Programming/10 -Policy Iteration in Code.mp4 59.1 MB
  • 4 - Markov Decision Proccesses/12 -Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • 2 - Return of the Multi-Armed Bandit/15 -Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • 2 - Return of the Multi-Armed Bandit/12 -UCB1 Theory.mp4 58.2 MB
  • 3 - High Level Overview of Reinforcement Learning/1 -What is Reinforcement Learning.mp4 57.3 MB
  • 4 - Markov Decision Proccesses/2 -Gridworld.mp4 56.6 MB
  • 10 - Stock Trading Project with Reinforcement Learning/9 -Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2025-07-05 大小:4.5 GB 最近下载:2025-10-02 热度:205

Udemy - Reinforcement Learning Optimize Equations like a Pro 2024-5

  • 2. Course Content/1. 1 Solve x^2-25=0.mp4 414.7 MB
  • 2. Course Content/8. 8 Solve x + y^3 + z^2 - 78=0.mp4 282.1 MB
  • 2. Course Content/4. 4 Solve x^2+ y^2 - 50=0.mp4 265.4 MB
  • 2. Course Content/10. 10 Evaluate the Expression and find the values.mp4 194.3 MB
  • 2. Course Content/3. 3 Solve Faster -x^2-40=0.mp4 180.5 MB
  • 2. Course Content/11. 11 Evaluate the Expression and find the values with Streamlit.mp4 174.7 MB
  • 2. Course Content/6. 6 Solve 5x^4+ 3y^5 - 627=0.mp4 153.7 MB
  • 2. Course Content/7. 7 Solve x^2 + y^2 + z^2 - 20=0.mp4 153.7 MB
  • 2. Course Content/5. 5 Solve x^2+ y^2 - 40=0.mp4 147.3 MB
  • 2. Course Content/9. 9 Math Expression Evaluator with Streamlit.mp4 133.2 MB
  • 2. Course Content/2. 2 Solve x^2-40=0.mp4 113.5 MB
  • 1. Introduction/1. Introduction.mp4 29.9 MB
  • 2. Course Content/11.1 11.py 5.1 kB
  • 2. Course Content/10.1 10.py 3.6 kB
  • 2. Course Content/8.1 8.py 3.1 kB
  • 2. Course Content/7.1 7.py 3.0 kB
  • 2. Course Content/6.1 6.py 2.6 kB
  • 2. Course Content/5.1 5.py 2.5 kB
  • 2. Course Content/4.1 4.py 2.4 kB
  • 2. Course Content/3.1 3.py 1.9 kB
[磁力链接] 添加时间:2024-09-17 大小:2.2 GB 最近下载:2025-09-28 热度:439

Coursera - Machine Learning and Reinforcement Learning in Finance Specialization 2023

  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/01_black-scholes-merton-model-physics-and-reinforcement-learning/01_introduction/03_interview-with-rossen-roussev.mp4 88.4 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/03_perception-beyond-reinforcement-learning/01_lesson-1/08_the-fokker-planck-equation-and-quantum-mechanics.mp4 52.1 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/07_what-are-defaults.mp4 46.2 MB
  • Coursera - Reinforcement Learning in Finance 2023-12/03_mdp-model-for-option-pricing-reinforcement-learning-approach/01_mdp-rl-approach/08_rl-solution-discussion-and-examples.mp4 44.8 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/04_other-applications-of-reinforcement-learning-p-2-p-lending-cryptocurrency-etc/01_lesson-1/09_the-value-of-universatility.mp4 44.0 MB
  • Coursera - Reinforcement Learning in Finance 2023-12/03_mdp-model-for-option-pricing-reinforcement-learning-approach/01_mdp-rl-approach/05_fitted-q-iteration.mp4 41.1 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/08_quantum-equilibrium-disequilibrium.mp4 41.0 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/01_from-portfolio-optimization-to-market-model.mp4 39.8 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/03_gbm-and-its-problems.mp4 38.8 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/03_perception-beyond-reinforcement-learning/01_lesson-1/07_langevin-equation-and-fokker-planck-equations.mp4 38.1 MB
  • Coursera - Reinforcement Learning in Finance 2023-12/04_rl-and-inverse-rl-for-portfolio-stock-trading/01_rl-for-stock-trading/08_rl-equations.mp4 37.3 MB
  • Coursera - Reinforcement Learning in Finance 2023-12/04_rl-and-inverse-rl-for-portfolio-stock-trading/01_rl-for-stock-trading/02_introduction-to-rl-for-trading.mp4 37.3 MB
  • Coursera - Reinforcement Learning in Finance 2023-12/01_mdp-and-reinforcement-learning/03_discrete-time-black-scholes-model/03_bsm-model-and-risk.mp4 36.1 MB
  • Coursera - Reinforcement Learning in Finance 2023-12/03_mdp-model-for-option-pricing-reinforcement-learning-approach/01_mdp-rl-approach/02_batch-reinforcement-learning.mp4 34.9 MB
  • Coursera - Guided Tour of Machine Learning in Finance 2023-12/01_artificial-intelligence-machine-learning/01_introduction-to-the-specialization-machine-learning-and-reinforcement-learning/02_specialization-objectives.mp4 34.9 MB
  • Coursera - Reinforcement Learning in Finance 2023-12/04_rl-and-inverse-rl-for-portfolio-stock-trading/01_rl-for-stock-trading/09_rl-and-inverse-reinforcement-learning-solutions.mp4 34.8 MB
  • Coursera - Guided Tour of Machine Learning in Finance 2023-12/04_supervised-learning-in-finance/02_machine-learning-with-probabilistic-models-classification-tasks/04_logistic-regression-for-modeling-bank-failures-part-i.mp4 33.0 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/04_other-applications-of-reinforcement-learning-p-2-p-lending-cryptocurrency-etc/01_lesson-1/05_lob-modeling.mp4 32.7 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/06_the-singularity-is-near.mp4 32.4 MB
  • Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/01_black-scholes-merton-model-physics-and-reinforcement-learning/03_lesson-2/01_option-trading-and-rl.mp4 32.4 MB
[磁力链接] 添加时间:2024-07-02 大小:3.4 GB 最近下载:2025-09-29 热度:1487

advanced-ai-deep-reinforcement-learning-in-python

  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 88.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 82.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 81.9 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 71.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 66.5 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB
[磁力链接] 添加时间:2024-05-20 大小:3.4 GB 最近下载:2025-09-25 热度:649

[Tutorialsplanet.NET] Udemy - Artificial Intelligence IV - Reinforcement Learning in Java

  • 6 - Pathfinding with QLearning/26 - Pathfinding with Qlearning III.mp4 115.0 MB
  • 3 - Markov Decision Process Value Iteration/15 - Value iteration implementation IV.mp4 97.6 MB
  • 7 - Exploration vs Exploitation Problem/32 - Narmed bandit problem implementation I.mp4 50.5 MB
  • 3 - Markov Decision Process Value Iteration/13 - Value iteration implementation II.mp4 44.9 MB
  • 6 - Pathfinding with QLearning/27 - Pathfinding with Qlearning IV.mp4 40.7 MB
  • 1 - Introduction/2 - Types of learning.mp4 38.0 MB
  • 6 - Pathfinding with QLearning/29 - Shortest path with Qlearning.mp4 37.8 MB
  • 3 - Markov Decision Process Value Iteration/14 - Value iteration implementation III.mp4 35.8 MB
  • 3 - Markov Decision Process Value Iteration/12 - Value iteration implementation I.mp4 35.8 MB
  • 3 - Markov Decision Process Value Iteration/11 - What is value iteration.mp4 34.0 MB
  • 2 - Markov Decision Process MDP Theory/4 - Markov decision processes basics I.mp4 32.0 MB
  • 5 - Q Learning Theory/21 - Q learning illustration.mp4 29.7 MB
  • 7 - Exploration vs Exploitation Problem/31 - Narmed bandit problem introduction.mp4 29.5 MB
  • 6 - Pathfinding with QLearning/25 - Pathfinding with Qlearning II.mp4 26.6 MB
  • 1 - Introduction/3 - Applications of reinforcement learning.mp4 24.3 MB
  • 5 - Q Learning Theory/20 - Q learning introduction the algorithm.mp4 22.7 MB
  • 3 - Markov Decision Process Value Iteration/16 - Value iteration implementation V.mp4 20.0 MB
  • 6 - Pathfinding with QLearning/24 - Pathfinding with Qlearning I.mp4 19.8 MB
  • 5 - Q Learning Theory/19 - Q learning introduction.mp4 16.9 MB
  • 8 - Deep Reinforcement Learning Theory/35 - What is deep Q learning.mp4 13.2 MB
[磁力链接] 添加时间:2024-03-12 大小:815.3 MB 最近下载:2025-09-30 热度:1217

1-Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0

  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4 40.4 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4 34.8 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4 31.8 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 30.7 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif 29.7 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 28.2 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 27.9 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif 27.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4 26.9 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
[磁力链接] 添加时间:2024-03-04 大小:2.5 GB 最近下载:2025-09-05 热度:2590

Reinforcement Learning Specialization

  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/04_warren-powell-approximate-dynamic-programming-for-fleet-management-long.mp4 152.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/05_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/01_the-k-armed-bandit-problem/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/03_optimality-optimal-policies-value-functions/05_chapter-summary_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/03_exploration-vs-exploitation-tradeoff/06_chapter-summary_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/01_welcome-to-the-course/01_course-introduction/03_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/01_introduction-to-monte-carlo-methods/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/01_welcome-to-the-course/01_course-introduction/04_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/03_markov-decision-processes/01_introduction-to-markov-decision-processes/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/03_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/04_control-with-approximation/01_episodic-sarsa-with-function-approximation/02_weekly-reading-on-policy-control-with-approximation_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/04_off-policy-learning-for-prediction/06_chapter-summary_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/03_temporal-difference-learning-methods-for-prediction/01_introduction-to-temporal-difference-learning/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/01_policies-and-value-functions/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/01_td-for-control/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/03_constructing-features-for-prediction/01_feature-construction-for-linear-methods/02_weekly-reading-on-policy-prediction-with-approximation-ii_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/05_policy-gradient/01_learning-parameterized-policies/02_weekly-reading-policy-gradient-methods_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/03_expected-sarsa/05_chapter-summary_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/05_planning-learning-acting/01_what-is-a-model/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/01_policy-evaluation-prediction/02_weekly-reading_RLbook2018.pdf 89.4 MB
[磁力链接] 添加时间:2024-02-01 大小:5.0 GB 最近下载:2025-10-01 热度:5576

[Udemy] Practical AI with Python and Reinforcement Learning (07.2021)

  • 11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
  • 10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
  • 07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
  • 07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
  • 10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
  • 07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
  • 07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
  • 04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
  • 06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
  • 07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
  • 03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
  • 11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
  • 11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
  • 12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
  • 08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
  • 02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
  • 07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
  • 06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
  • 04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB
[磁力链接] 添加时间:2024-01-22 大小:7.9 GB 最近下载:2025-07-11 热度:1258

[ CourseLala.com ] Skillshare - Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement

  • ~Get Your Files Here !/29. Naive Bayes example clustering news.mp4 94.8 MB
  • ~Get Your Files Here !/09. Linear regression implementation I.mp4 91.4 MB
  • ~Get Your Files Here !/59. Boosting implementation II wine classification.mp4 80.4 MB
  • ~Get Your Files Here !/27. What is text clustering.mp4 78.8 MB
  • ~Get Your Files Here !/14. Logistic regression example II credit scoring.mp4 69.7 MB
  • ~Get Your Files Here !/66. K means clustering text clustering.mp4 69.0 MB
  • ~Get Your Files Here !/53. Random forests example III OCR parameter tuning.mp4 66.2 MB
  • ~Get Your Files Here !/22. K nearest neighbor implementation II.mp4 52.7 MB
  • ~Get Your Files Here !/62. Principal component analysis example.mp4 52.4 MB
  • ~Get Your Files Here !/34. Support vector machine example I simple.mp4 50.2 MB
  • ~Get Your Files Here !/13. Logistic regression example I sigmoid function.mp4 49.6 MB
  • ~Get Your Files Here !/24. What is the naive Bayes classifier.mp4 49.2 MB
  • ~Get Your Files Here !/71. 008 Hierarchical clustering market segmentation.mp4 48.8 MB
  • ~Get Your Files Here !/63. Principal component analysis example II.mp4 48.6 MB
  • ~Get Your Files Here !/57. Boosting introduction final formula.mp4 48.1 MB
  • ~Get Your Files Here !/07. Linear regression theory optimization.mp4 46.5 MB
  • ~Get Your Files Here !/37. Support vector machine example IV digit recognition.mp4 44.9 MB
  • ~Get Your Files Here !/68. DBSCAN example.mp4 44.4 MB
  • ~Get Your Files Here !/36. Support vector machines example III parameter tuning.mp4 43.6 MB
  • ~Get Your Files Here !/41. Decision trees introduction entropy.mp4 42.5 MB
[磁力链接] 添加时间:2024-01-19 大小:2.5 GB 最近下载:2025-09-28 热度:1557

Udacity - Become a Deep Reinforcement Learning Expert v1.0.0

  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4 40.4 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4 34.8 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4 31.8 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 30.7 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif 29.7 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 28.2 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 27.9 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif 27.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4 26.9 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
[磁力链接] 添加时间:2024-01-17 大小:2.5 GB 最近下载:2025-10-01 热度:4818

[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs

  • ~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4 72.5 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4 66.7 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4 66.4 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4 65.6 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4 57.0 MB
  • ~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4 52.4 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4 52.3 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4 52.2 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4 44.6 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4 43.3 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4 40.6 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4 40.0 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4 38.4 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4 38.2 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4 38.1 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4 36.8 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4 35.3 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4 34.0 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 33.9 MB
[磁力链接] 添加时间:2024-01-06 大小:1.7 GB 最近下载:2025-09-30 热度:959

[FreeCoursesOnline.Me] Udacity - Become a Deep Reinforcement Learning Expert v1.0.0

  • [FreeCoursesOnline.Me] Udacity - Become a Deep Reinforcement Learning Expert v1.0.0.zip 2.3 GB
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[磁力链接] 添加时间:2024-01-03 大小:2.3 GB 最近下载:2025-09-30 热度:16099

[ FreeCourseWeb.com ] Udemy - Advanced Reinforcement Learning - policy gradient methods

  • ~Get Your Files Here !/10 - Advantage Actor Critic (A2C)/001 A2C.mp4 52.5 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/005 Stochastic Gradient Descent.mp4 52.3 MB
  • ~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Elements common to all control tasks.mp4 40.6 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/004 How to represent a Neural Network.mp4 40.0 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/001 Function approximators.mp4 38.1 MB
  • ~Get Your Files Here !/08 - PyTorch Lightning/001 PyTorch Lightning.mp4 33.6 MB
  • ~Get Your Files Here !/05 - Refresher N-step bootstrapping/003 Effect of changing n.mp4 29.4 MB
  • ~Get Your Files Here !/07 - Refresher REINFORCE/002 Representing policies using neural networks.mp4 29.1 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/003 Artificial Neurons.mp4 26.9 MB
  • ~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 The Markov decision process (MDP).mp4 26.3 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/002 Artificial Neural Networks.mp4 25.5 MB
  • ~Get Your Files Here !/03 - Refresher Monte Carlo methods/002 Solving control tasks with Monte Carlo methods.mp4 24.9 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/006 Neural Network optimization.mp4 24.5 MB
  • ~Get Your Files Here !/07 - Refresher REINFORCE/007 Entropy regularization.mp4 24.3 MB
  • ~Get Your Files Here !/07 - Refresher REINFORCE/001 Policy gradient methods.mp4 22.7 MB
  • ~Get Your Files Here !/03 - Refresher Monte Carlo methods/003 On-policy Monte Carlo control.mp4 21.4 MB
  • ~Get Your Files Here !/04 - Refresher Temporal difference methods/004 SARSA.mp4 18.6 MB
  • ~Get Your Files Here !/07 - Refresher REINFORCE/004 The policy gradient theorem.mp4 16.7 MB
  • ~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Discount factor.mp4 15.5 MB
  • ~Get Your Files Here !/04 - Refresher Temporal difference methods/002 Solving control tasks with temporal difference methods.mp4 15.2 MB
[磁力链接] 添加时间:2024-01-02 大小:768.7 MB 最近下载:2025-09-29 热度:2086

[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - from DQN to SAC

  • ~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/003 Create the robotics task.mp4 77.6 MB
  • ~Get Your Files Here !/13 - Hindsight Experience Replay/004 Implement Hindsight Experience Replay (HER) - Part 3.mp4 77.3 MB
  • ~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/007 Implement the Soft Actor-Critic algorithm - Part 2.mp4 69.9 MB
  • ~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/011 Define the training step.mp4 60.7 MB
  • ~Get Your Files Here !/06 - PyTorch Lightning/008 Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
  • ~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/005 Create the gradient policy.mp4 56.4 MB
  • ~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/006 Stochastic Gradient Descent.mp4 52.3 MB
  • ~Get Your Files Here !/06 - PyTorch Lightning/011 Define the train_step() method.mp4 52.2 MB
  • ~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/010 Creating the (NAF) Deep Q-Network 4.mp4 50.2 MB
  • ~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/006 Create the gradient policy.mp4 45.6 MB
  • ~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/015 Create the (NAF) Deep Q-Learning algorithm.mp4 45.0 MB
  • ~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/007 Creating the (NAF) Deep Q-Network 1.mp4 43.4 MB
  • ~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/006 Implement the Soft Actor-Critic algorithm - Part 1.mp4 42.0 MB
  • ~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/008 Create the DDPG class.mp4 40.7 MB
  • ~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 Elements common to all control tasks.mp4 40.6 MB
  • ~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/005 How to represent a Neural Network.mp4 40.0 MB
  • ~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/002 Function approximators.mp4 38.1 MB
  • ~Get Your Files Here !/06 - PyTorch Lightning/014 Train the Deep Q-Learning algorithm.mp4 36.7 MB
  • ~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/012 Launch the training process.mp4 35.9 MB
  • ~Get Your Files Here !/13 - Hindsight Experience Replay/002 Implement Hindsight Experience Replay (HER) - Part 1.mp4 35.6 MB
[磁力链接] 添加时间:2023-12-28 大小:2.6 GB 最近下载:2025-10-02 热度:1845

[ DevCourseWeb.com ] Udemy - State-of-the-art Research of Deep Reinforcement-learning

  • ~Get Your Files Here !/01 - OpenAI research/005 Proximal Policy Optimization Algorithms.mp4 57.8 MB
  • ~Get Your Files Here !/04 - Microsoft research/001 Deep Reinforcement Learning for Dialogue Generation.mp4 52.3 MB
  • ~Get Your Files Here !/03 - Google research/004 Exploration in Reinforcement Learning with Deep Covering Options.mp4 46.9 MB
  • ~Get Your Files Here !/01 - OpenAI research/006 Evolution Strategies as a Scalable Alternative to Reinforcement Learning.mp4 44.7 MB
  • ~Get Your Files Here !/03 - Google research/002 Value-Based Deep Reinforcement Learning Requires Explicit Regularization.mp4 42.9 MB
  • ~Get Your Files Here !/03 - Google research/005 Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.mp4 40.6 MB
  • ~Get Your Files Here !/03 - Google research/007 Interpolated Policy Gradient Merging On-Policy and Off-Policy Gradient Estimati.mp4 40.0 MB
  • ~Get Your Files Here !/03 - Google research/003 Deep Reinforcement Learning at the Edge of the Statistical Precipice.mp4 39.4 MB
  • ~Get Your Files Here !/01 - OpenAI research/001 Emergent Tool Use from Multi-Agent Interaction.mp4 35.5 MB
  • ~Get Your Files Here !/02 - DeepMind research/004 Recurrent Experience Reply in distributed Reinforcement-learning.mp4 35.3 MB
  • ~Get Your Files Here !/03 - Google research/001 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.mp4 34.7 MB
  • ~Get Your Files Here !/03 - Google research/008 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning.mp4 33.4 MB
  • ~Get Your Files Here !/02 - DeepMind research/002 Learning more skills through optimistic exploration.mp4 33.4 MB
  • ~Get Your Files Here !/02 - DeepMind research/001 NeuPL Neural Population Learning.mp4 32.4 MB
  • ~Get Your Files Here !/03 - Google research/006 FollowNet Robot Navigation by Following Natural Language Directions with Deep R.mp4 29.7 MB
  • ~Get Your Files Here !/02 - DeepMind research/003 When should agents explore.mp4 28.0 MB
  • ~Get Your Files Here !/01 - OpenAI research/003 Emergent Complexity via Multi-Agent Competition.mp4 24.8 MB
  • ~Get Your Files Here !/02 - DeepMind research/005 Maximum a Posteriori Policy Optimisation.mp4 23.8 MB
  • ~Get Your Files Here !/01 - OpenAI research/004 Parameter Space Noise for Exploration.mp4 22.5 MB
  • ~Get Your Files Here !/01 - OpenAI research/002 Learning Dexterous In-Hand Manipulation.mp4 13.9 MB
[磁力链接] 添加时间:2023-12-26 大小:712.0 MB 最近下载:2025-10-02 热度:1925

[ FreeCourseWeb.com ] Udemy - Curiosity Driven Deep Reinforcement Learning

  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/4. Experimental Setup and Coding Our ICM Module.mp4 244.0 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/12. Coding Our Main Loop and Evaluating Our Agent.mp4 239.4 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/11. How to Modify the Open AI Gym Atari Environments.mp4 171.3 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/7. Learning with Generalized Advantage Estimation.mp4 120.4 MB
  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/5. ICM Paper Experiments, Related Work, and Discussion.mp4 116.4 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/10. A3C Paper Experiments and Discussion.mp4 106.3 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/6. Coding our Actor Critic Network.mp4 101.4 MB
  • ~Get Your Files Here !/2. Fundamental Concepts/1. A Brief Review of Deep Reinforcement Learning and Actor Critic Methods.mp4 90.5 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/5. A3C Paper The Asynchronous Reinforcement Learning Framework.mp4 90.3 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/3. Crash Course in Parallel Processing in Python.mp4 88.4 MB
  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/6. Setting Up the Mini World and Training Our ICM Agent.mp4 86.1 MB
  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/3. ICM Paper Curiosity Driven Exploration.mp4 83.0 MB
  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/2. ICM Paper Abstract and Introduction.mp4 78.3 MB
  • ~Get Your Files Here !/2. Fundamental Concepts/2. Code Review of Basic Actor Critic Agent.mp4 75.2 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/1. How to Read and Implement Research Papers.mp4 64.3 MB
  • ~Get Your Files Here !/1. Introduction/1. What You Will Learn in this Course.mp4 54.1 MB
  • ~Get Your Files Here !/2. Fundamental Concepts/3. A Crash Course in Asynchronous Advantage Actor Critic Methods.mp4 49.0 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/2. A3C Paper Abstract and Introduction.mp4 41.4 MB
  • ~Get Your Files Here !/1. Introduction/2. How to Succeed in this Course.mp4 35.1 MB
  • ~Get Your Files Here !/1. Introduction/3. Required Background, Software, and Hardware.mp4 27.5 MB
[磁力链接] 添加时间:2023-12-23 大小:2.0 GB 最近下载:2025-10-02 热度:1856

[ FreeCourseWeb.com ] Udemy - Reinforcement Learning #1- Fundamentals.zip

  • [ FreeCourseWeb.com ] Udemy - Reinforcement Learning #1- Fundamentals.zip 264.0 MB
[磁力链接] 添加时间:2022-04-07 大小:264.0 MB 最近下载:2025-09-20 热度:358

[GigaCourse.Com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • 6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • 1. Welcome/5. Warmup.mp4 65.6 MB
  • 8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • 5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
  • 4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • 2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • 2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
  • 10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-03-29 大小:4.4 GB 最近下载:2025-09-23 热度:1956


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