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[DesireCourse.Net] Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python

  • 6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
  • 3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
  • 6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
  • 5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
  • 3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 129.0 MB
  • 6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
  • 5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
  • 3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.7 MB
  • 6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
  • 6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
  • 3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
  • 5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB
[磁力链接] 添加时间:2021-03-08 大小:3.5 GB 最近下载:2025-09-29 热度:1812

[ 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

artificial-intelligence-reinforcement-learning-in-python

  • 02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
  • 04 Markov Decision Proccesses/031 MDP Summary.mp4 2.5 MB
  • 07 Temporal Difference Learning/051 Temporal Difference Intro.mp4 2.9 MB
  • 02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
  • 08 Approximation Methods/062 Monte Carlo Prediction with Approximation.mp4 3.0 MB
  • 05 Dynamic Programming/036 Policy Iteration.mp4 3.3 MB
  • 04 Markov Decision Proccesses/025 Gridworld.mp4 3.5 MB
  • 07 Temporal Difference Learning/058 TD Summary.mp4 4.1 MB
  • 09 Appendix/069 Where to get discount coupons and FREE deep learning material.mp4 4.2 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/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
  • 01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
  • 05 Dynamic Programming/035 Policy Improvement.mp4 4.8 MB
  • 06 Monte Carlo/048 Monte Carlo Control without Exploring Starts.mp4 4.8 MB
  • 08 Approximation Methods/065 Semi-Gradient SARSA.mp4 4.9 MB
  • 05 Dynamic Programming/032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4 5.1 MB
  • 07 Temporal Difference Learning/056 Q Learning.mp4 5.1 MB
  • 05 Dynamic Programming/040 Value Iteration in Code.mp4 5.1 MB
  • 06 Monte Carlo/042 Monte Carlo Intro.mp4 5.2 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB
[磁力链接] 添加时间:2017-06-03 大小:580.1 MB 最近下载:2025-09-28 热度:486

[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

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

[ 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

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

  • 9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 4. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Return of the Multi-Armed Bandit/7. Bayesian Thompson Sampling.mp4 54.4 MB
  • 9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 9. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 9. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 9. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 1. Introduction and Outline/2. What is Reinforcement Learning.mp4 23.0 MB
  • 4. Markov Decision Proccesses/5. Value Function Introduction.mp4 20.7 MB
  • 9. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 9. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
  • 8. Approximation Methods/9. Course Summary and Next Steps.mp4 13.9 MB
  • 3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4 13.3 MB
  • 5. Dynamic Programming/3. Iterative Policy Evaluation in Code.mp4 12.7 MB
  • 5. Dynamic Programming/2. Gridworld in Code.mp4 12.0 MB
  • 8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4 11.1 MB
  • 2. Return of the Multi-Armed Bandit/8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB
[磁力链接] 添加时间:2021-03-16 大小:1.3 GB 最近下载:2025-09-28 热度:3148

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

  • 10. Appendix/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
  • 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4 57.3 MB
  • 3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
  • 3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt 45.0 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4 44.4 MB
  • 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
  • 1. Welcome/1. Introduction.mp4 35.9 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4 32.5 MB
  • 10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4 25.7 MB
  • 6. Dynamic Programming/3. Designing Your RL Program.mp4 23.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4 20.7 MB
[磁力链接] 添加时间:2021-03-06 大小:1.6 GB 最近下载:2025-09-27 热度:2754

[FreeCoursesOnline.Me] Coursera - Practical Reinforcement Learning

  • 001.Welcome/001. Why should you care.mp4 34.0 MB
  • 001.Welcome/001. Why should you care.srt 15.8 kB
  • 001.Welcome/002. Reinforcement learning vs all.mp4 11.3 MB
  • 001.Welcome/002. Reinforcement learning vs all.srt 5.0 kB
  • 002.Reinforcement Learning/003. Multi-armed bandit.mp4 18.7 MB
  • 002.Reinforcement Learning/003. Multi-armed bandit.srt 7.4 kB
  • 002.Reinforcement Learning/004. Decision process & applications.mp4 24.1 MB
  • 002.Reinforcement Learning/004. Decision process & applications.srt 9.9 kB
  • 003.Black box optimization/005. Markov Decision Process.mp4 18.9 MB
  • 003.Black box optimization/005. Markov Decision Process.srt 8.5 kB
  • 003.Black box optimization/006. Crossentropy method.mp4 37.8 MB
  • 003.Black box optimization/006. Crossentropy method.srt 15.9 kB
  • 003.Black box optimization/007. Approximate crossentropy method.mp4 20.2 MB
  • 003.Black box optimization/007. Approximate crossentropy method.srt 8.4 kB
  • 003.Black box optimization/008. More on approximate crossentropy method.mp4 24.0 MB
  • 003.Black box optimization/008. More on approximate crossentropy method.srt 10.7 kB
  • 004.All the cool stuff that isn't in the base track/009. Evolution strategies core idea.mp4 21.9 MB
  • 004.All the cool stuff that isn't in the base track/009. Evolution strategies core idea.srt 7.5 kB
  • 004.All the cool stuff that isn't in the base track/010. Evolution strategies math problems.mp4 18.6 MB
  • 004.All the cool stuff that isn't in the base track/010. Evolution strategies math problems.srt 8.8 kB
[磁力链接] 添加时间:2018-09-25 大小:1.5 GB 最近下载:2025-09-27 热度:4899

Reinforcement Learning Foundations

  • [TutsNode.com] - Reinforcement Learning Foundations/01 Reinforcement learning in a nutshell.mp4 22.0 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/04 Markov decision process.mp4 18.2 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/16 SARSA.mp4 15.9 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/03 A basic RL problem.mp4 15.8 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/06 Monte Carlo method.mp4 12.8 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/14 Additional modifications.mp4 11.1 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/02 Terms in reinforcement learning.mp4 10.7 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/17 SARSAMAX (Q-learning).mp4 9.6 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/05 A basic RL solution.mp4 9.0 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/10 Exploration and exploitation.mp4 8.1 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/18 Expected SARSA.mp4 7.4 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/12 First visit and every visit MC prediction.mp4 7.2 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/22 Your reinforcement learning journey.mp4 6.5 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/15 The setting.mp4 5.4 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/11 Monte Carlo prediction.mp4 4.8 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/19 Deep reinforcement learning.mp4 4.5 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/20 Multi-agent reinforcement learning.mp4 4.4 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/21 Inverse reinforcement learning.mp4 4.3 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/07 Temporal difference methods.mp4 4.0 MB
  • [TutsNode.com] - Reinforcement Learning Foundations/08 Other RL algorithms.mp4 3.3 MB
[磁力链接] 添加时间:2021-05-10 大小:193.9 MB 最近下载:2025-09-25 热度:1715

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

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

[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

[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

[FreeCourseSite.com] Udemy - 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:2018-02-24 大小:621.3 MB 最近下载:2025-09-21 热度:2159

[ 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

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] 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

[CourseClub.NET] 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:2025-09-13 热度:2794

[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


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