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[FreeCoursesOnline.Me] Udacity - Deep Reinforcement Learning Nanodegree 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:2021-03-07 大小:2.5 GB 最近下载:2025-08-11 热度:1613

[ 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:2025-10-02 热度:1559

Udacity - Deep Reinforcement Learning Nanodegree

  • 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
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4 40.4 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4 34.8 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4 31.8 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 30.7 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif 29.7 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 28.2 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 27.9 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif 27.8 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4 26.9 MB
  • Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/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:2022-01-25 大小:2.5 GB 最近下载:2025-08-19 热度:1538

[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 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)/1. Windows-Focused Environment Setup 2018.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
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 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 82.1 MB
  • 1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 81.6 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
  • 2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 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 60.1 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:2021-03-20 大小:3.2 GB 最近下载:2025-09-23 热度:1508

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

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

  • 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
  • 2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
  • 2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
  • 10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
  • 10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
  • 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
  • 11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
  • 11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
  • 1. Welcome/1. Introduction.mp4 35.9 MB
  • 2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB
[磁力链接] 添加时间:2021-04-13 大小:2.0 GB 最近下载:2025-09-28 热度:1468

[ FreeCourseWeb.com ] Udemy - Deep Reinforcement Learning 2.0- The smartest combination of Deep Q-Learning, Policy Gradient, Actor Critic, and DDPG.zip

  • [ FreeCourseWeb.com ] Udemy - Deep Reinforcement Learning 2.0- The smartest combination of Deep Q-Learning, Policy Gradient, Actor Critic, and DDPG.zip 4.9 GB
[磁力链接] 添加时间:2021-05-02 大小:4.9 GB 最近下载:2025-09-29 热度:1443

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

  • [DesireCourse.Com] Udemy - Artificial Intelligence Reinforcement Learning in Python.zip 434.0 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2021-04-28 大小:434.0 MB 最近下载:2025-09-30 热度:1439

[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

[Tutorialsplanet.NET] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 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)/1. 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 82.3 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 82.1 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 81.9 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 60.1 MB
  • 1. Introduction and Logistics/2. Where to get the Code.mp4 54.1 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:2022-01-21 大小:3.0 GB 最近下载:2025-09-10 热度:1230

[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:2025-10-02 热度:1225

[FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]

  • 05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0505.Starting Program and Gathering Results.mp4 47.5 MB
  • 01.Deep Dive into Reinforcement Learning with DL4J – RL4J/0101.The Course Overview.mp4 26.6 MB
  • 03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming/0304.Configuring RL4J Algorithm for Cliff Walking Problem.mp4 24.6 MB
  • Exercise Files/exercise_files.zip 22.8 MB
  • 02.Solving Cartpole with Markov Decision Processes (MDPs)/0205.Running Cartpole and Validating Results.mp4 21.1 MB
  • 03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming/0305.Starting QLearningDiscreteDense and Saving Results.mp4 20.8 MB
  • 01.Deep Dive into Reinforcement Learning with DL4J – RL4J/0102.Main Principles of Reinforcement Learning.mp4 20.4 MB
  • 01.Deep Dive into Reinforcement Learning with DL4J – RL4J/0103.Adding DL4J with RL4J to Our Project.mp4 19.1 MB
  • 05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0503.Configuring Reinforcement Learning Program Using A3C Configuration.mp4 16.1 MB
  • 04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0403.Leveraging QLearningDiscreteDense from RL4J API.mp4 14.7 MB
  • 03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming/0303.Loading Cliff Walking Simulation.mp4 14.7 MB
  • 03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming/0301.Adding Malmo Library to Our RL4J Project.mp4 14.4 MB
  • 05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0504.Using A3C Technique with ActorCriticFactorySeparateStdDense.mp4 13.9 MB
  • 02.Solving Cartpole with Markov Decision Processes (MDPs)/0204.Using GymEnv Library from RL4J to Simulate Solution.mp4 13.6 MB
  • 01.Deep Dive into Reinforcement Learning with DL4J – RL4J/0105.Configuring Reinforcement Learning Model with QLearning.QLConfiguration.mp4 13.5 MB
  • 04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0404.Performing Stock Prediction Training and Validating Results.mp4 12.6 MB
  • 04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0402.Creating Configuration for Stock Prediction Learning.mp4 10.7 MB
  • 02.Solving Cartpole with Markov Decision Processes (MDPs)/0202.Leveraging Markov Chain in Our Cartpole Solution.mp4 10.5 MB
  • 02.Solving Cartpole with Markov Decision Processes (MDPs)/0203.Using QLConfiguration to Configure Our Model.mp4 9.9 MB
  • 05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0502.Setting Up A3C Learning Environment.mp4 9.0 MB
[磁力链接] 添加时间:2022-01-27 大小:383.1 MB 最近下载:2025-08-27 热度:1216

Udacity - Deep Reinforcement Learning Nanodegree.rar

  • Udacity - Deep Reinforcement Learning Nanodegree.rar 2.5 GB
[磁力链接] 添加时间:2021-04-16 大小:2.5 GB 最近下载:2025-09-23 热度:1207

GetFreeCourses.Co-Udemy-Practical Reinforcement Learning using Python - 8 AI Agents

  • 5. Mario Reinforcement Learning Agent/11. Creating a Better Learning Environment for Agent.mp4 165.6 MB
  • 4. Flappy Bird Reinforcement Learning Agent/8. Learn Function.mp4 150.1 MB
  • 3. Autonomous Taxi Agent/7. Visualizing our Agent & Testing in other Environments.mp4 103.2 MB
  • 5. Mario Reinforcement Learning Agent/10. Learn Function.mp4 93.4 MB
  • 7. Car Reinforcement Learning Agents/6. Agent 2) Training our Agent.mp4 85.0 MB
  • 4. Flappy Bird Reinforcement Learning Agent/7. Train Function.mp4 82.0 MB
  • 5. Mario Reinforcement Learning Agent/9. Preprocess State for Neural Network Function.mp4 79.1 MB
  • 6. Stocks Reinforcement Learning Agents/7. Creating Model & Learning from Environment.mp4 74.4 MB
  • 4. Flappy Bird Reinforcement Learning Agent/5. Building Neural Network.mp4 73.8 MB
  • 3. Autonomous Taxi Agent/5. Training Q-Learning Agent.mp4 71.7 MB
  • 5. Mario Reinforcement Learning Agent/13. Visualizing our Agent.mp4 70.4 MB
  • 1. Introduction/1. Introduction.mp4 69.8 MB
  • 4. Flappy Bird Reinforcement Learning Agent/10. Visualize Trained Agent.mp4 64.3 MB
  • 6. Stocks Reinforcement Learning Agents/10. PART 2 Creating Environment with Technical Indicators.mp4 55.8 MB
  • 2. SpaceInvaders Agent/4. Building Reinforcement Learning Agent.mp4 55.3 MB
  • 6. Stocks Reinforcement Learning Agents/9. PART 2 Implementing 89 different Technical Indicators in Data.mp4 54.5 MB
  • 5. Mario Reinforcement Learning Agent/12. Save & Load Agent.mp4 54.3 MB
  • 6. Stocks Reinforcement Learning Agents/1. Setting up Project & Installing Python Packages.mp4 54.1 MB
  • 6. Stocks Reinforcement Learning Agents/5. Creating our Environment.mp4 53.3 MB
  • 2. SpaceInvaders Agent/3. Building Neural Network.mp4 53.2 MB
[磁力链接] 添加时间:2021-05-20 大小:2.6 GB 最近下载:2025-09-16 热度:1183

[FreeTutorials.Us] artificial-intelligence-reinforcement-learning-in-python

  • 01 Introduction and Outline/001 Introduction and outline.mp4 10.6 MB
  • 01 Introduction and Outline/002 What is Reinforcement Learning.mp4 23.0 MB
  • 01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
  • 01 Introduction and Outline/004 Strategy for Passing the Course.mp4 9.9 MB
  • 02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4 6.8 MB
  • 02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
  • 02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
  • 02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4 8.4 MB
  • 02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4 5.4 MB
  • 02 Return of the Multi-Armed Bandit/010 UCB1.mp4 8.6 MB
  • 02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 16.0 MB
  • 02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB
  • 02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4 7.8 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4 6.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4 13.3 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4 4.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 27.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4 10.3 MB
[磁力链接] 添加时间:2017-08-20 大小:621.3 MB 最近下载:2025-09-02 热度:1093

[FreeTutorials.Us] deep-reinforcement-learning-in-python

  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4 9.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
[磁力链接] 添加时间:2017-08-18 大小:547.6 MB 最近下载:2025-09-15 热度:978

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

  • 10/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
  • 11. 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
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
  • 1. Welcome/5. Warmup.mp4 65.7 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/9. 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
  • 9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
  • 2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
  • 5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
  • 2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
  • 9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
[磁力链接] 添加时间:2022-01-22 大小:3.3 GB 最近下载:2025-08-12 热度:972

[ 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

[ FreeCourseWeb.com ] Udemy - Cutting-Edge AI- Deep Reinforcement Learning in Python.zip

  • [ FreeCourseWeb.com ] Udemy - Cutting-Edge AI- Deep Reinforcement Learning in Python.zip 3.4 GB
[磁力链接] 添加时间:2022-02-13 大小:3.4 GB 最近下载:2025-10-01 热度:773

[UdemyCourseDownloader] Advanced AI Deep Reinforcement Learning in Python

  • 07 Appendix/044 Environment Setup.mp4 46.0 MB
  • udemycoursedownloader.com.url 132 Bytes
  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
[磁力链接] 添加时间:2018-11-27 大小:547.6 MB 最近下载:2025-05-16 热度:687


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