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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:2025-10-02 热度:4819

[CourseClub.NET] 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:2018-10-14 大小:1.5 GB 最近下载:2025-10-02 热度:2300

[ 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

Practical Reinforcement Learning using Python - 8 AI Agents

  • [TutsNode.com] - 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
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/8. Learn Function.mp4 150.1 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/3. Autonomous Taxi Agent/7. Visualizing our Agent & Testing in other Environments.mp4 103.2 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/10. Learn Function.mp4 93.4 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/7. Car Reinforcement Learning Agents/6. Agent 2) Training our Agent.mp4 85.0 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/7. Train Function.mp4 82.0 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/9. Preprocess State for Neural Network Function.mp4 79.1 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/7. Creating Model & Learning from Environment.mp4 74.4 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/5. Building Neural Network.mp4 73.8 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/3. Autonomous Taxi Agent/5. Training Q-Learning Agent.mp4 71.7 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/13. Visualizing our Agent.mp4 70.4 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/1. Introduction/1. Introduction.mp4 69.8 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/10. Visualize Trained Agent.mp4 64.3 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/10. PART 2 Creating Environment with Technical Indicators.mp4 55.8 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/2. SpaceInvaders Agent/4. Building Reinforcement Learning Agent.mp4 55.3 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/9. PART 2 Implementing 89 different Technical Indicators in Data.mp4 54.5 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/12. Save & Load Agent.mp4 54.3 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/1. Setting up Project & Installing Python Packages.mp4 54.1 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/5. Creating our Environment.mp4 53.3 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/2. SpaceInvaders Agent/3. Building Neural Network.mp4 53.2 MB
[磁力链接] 添加时间:2021-05-10 大小:2.6 GB 最近下载:2025-10-02 热度:7278

[ FreeCourseWeb.com ] Udemy - Deep Reinforcement Learning 2.0

  • ~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part.mp4 281.6 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 2.mp4 212.0 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 4.mp4 204.3 MB
  • ~Get Your Files Here !/4. The Final Demo!/1. Demo - Training.mp4 196.3 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/16. Implementation - Step 15.mp4 188.3 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/19. Implementation - Step 18.mp4 163.8 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 3.mp4 142.6 MB
  • ~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part.mp4 142.6 MB
  • ~Get Your Files Here !/4. The Final Demo!/2. Demo - Inference.mp4 130.4 MB
  • ~Get Your Files Here !/1. Part 1 - Fundamentals/1. Welcome.mp4 129.8 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 6.mp4 111.3 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 19.mp4 103.5 MB
  • ~Get Your Files Here !/7. Annex 3 - Deep Q-Learning/5. Action Selection Policies.mp4 95.8 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/9. Implementation - Step 8.mp4 88.0 MB
  • ~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization.mp4 86.7 MB
  • ~Get Your Files Here !/1. Part 1 - Fundamentals/2. Q-Learning.mp4 85.4 MB
  • ~Get Your Files Here !/6. Annex 2 - Q-Learning/10. Q-Learning Visualization.mp4 84.8 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 17.mp4 82.9 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 16.mp4 81.9 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/2. Implementation - Step 1.mp4 79.9 MB
[磁力链接] 添加时间:2022-03-12 大小:4.2 GB 最近下载:2025-10-02 热度:2344

[ CourseLala.com ] Udemy - Practical Reinforcement Learning using Python - 8 AI Agents.zip

  • [ CourseLala.com ] Udemy - Practical Reinforcement Learning using Python - 8 AI Agents.zip 2.6 GB
[磁力链接] 添加时间:2021-05-26 大小:2.6 GB 最近下载:2025-10-02 热度:2317

[Tutorialsplanet.NET] Udemy - GAdvanced 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/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/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
  • 2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.4 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
  • 2. The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4 46.7 MB
[磁力链接] 添加时间:2021-03-21 大小:3.1 GB 最近下载:2025-10-01 热度:183

[ 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

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

  • 9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 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
  • 9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 9. Appendix/13. What order should I take your courses in (part 2).mp4 39.5 MB
  • 9. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
  • 9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 23.3 MB
  • 5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 21.1 MB
  • 6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
  • 5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 20.0 MB
[磁力链接] 添加时间:2021-03-17 大小:1.9 GB 最近下载:2025-10-01 热度:2505

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

Artificial Intelligence Reinforcement Learning in Python

  • [TutsNode.com] - 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
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/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
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/1. Welcome/5. Warmup.mp4 65.6 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-02-02 大小:4.5 GB 最近下载:2025-10-01 热度:6164

[FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]

  • 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
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
  • 3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 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
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
  • 3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 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:2021-04-05 大小:3.5 GB 最近下载:2025-10-01 热度:2368

[ DevCourseWeb.com ] Udemy - Reinforcement Learning with Python Explained for Beginners.zip

  • [ DevCourseWeb.com ] Udemy - Reinforcement Learning with Python Explained for Beginners.zip 3.5 GB
[磁力链接] 添加时间:2021-03-29 大小:3.5 GB 最近下载:2025-10-01 热度:421

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

Reinforcement Learning with Python Explained for Beginners

  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/10. Q-Learning Implementation for MAPROVER Clipped.mp4 125.6 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/12. Project Frozenlake (Open AI Gym)/2. Frozenlake Implementation.mp4 117.7 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/8. Solving MDP/9. Value Iteration Solution.mp4 86.2 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/2. What is Reinforcement Learning Hiders and Seekers by OpenAI.mp4 75.8 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/3. RL vs Other ML Frameworks.mp4 62.2 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/9. Value Approximation/6. Monte-Carlo Learning Example.mp4 62.0 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/9. Non Stationary Environment.mp4 62.0 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/7. What is Reward.mp4 61.7 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/6. Limitations of Reinforcement Learning.mp4 55.6 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/3. Setup 3.mp4 54.3 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/10. Summary.mp4 52.4 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/5. Markov Decision Process Prerequisites/16. Modeling Uncertainity of Environment Value Functions.mp4 51.5 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/8. Stochastic Environment 3.mp4 51.1 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/9. Q-Learning.mp4 50.3 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/6. Stochastic Environment.mp4 49.1 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/4. Policy Comparison.mp4 48.4 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/2. Learning Rate.mp4 48.3 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/5. State Belongs to Environment and not to Agent.mp4 46.7 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/5. Deterministic Environment.mp4 46.2 MB
  • [TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/2. What is Environment_2.mp4 45.8 MB
[磁力链接] 添加时间:2021-04-11 大小:3.6 GB 最近下载:2025-09-30 热度:3400

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:2021-03-14 大小:2.5 GB 最近下载:2025-09-30 热度:6558

[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

Advanced AI Deep Reinforcement Learning in Python

  • Advanced AI Deep Reinforcement Learning in Python.zip 1.7 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-05-03 大小:1.7 GB 最近下载:2025-09-30 热度:2849

[ DevCourseWeb.com ] Udemy - Practical Intro To Reinforcement Learning Using Robotics

  • ~Get Your Files Here !/4. The MAB Algorithm/3. Balancing Exploration & Exploitation.mp4 317.4 MB
  • ~Get Your Files Here !/5. Applying MAB In Robotics/1. Framing A Robot Behaviour As MAB.mp4 283.9 MB
  • ~Get Your Files Here !/3. RL In Robotics/1. Framing A Robotics Problem As RL.mp4 254.7 MB
  • ~Get Your Files Here !/4. The MAB Algorithm/1. Introducing The MAB Algorithm.mp4 250.6 MB
  • ~Get Your Files Here !/2. The RL Cycle/1. The RL Workflow.mp4 243.4 MB
  • ~Get Your Files Here !/1. Introduction/2. RL Explained.mp4 169.2 MB
  • ~Get Your Files Here !/6. Appendix/7. Controlling The Motors.mp4 167.4 MB
  • ~Get Your Files Here !/5. Applying MAB In Robotics/2. Implementing MAB For The Robot.mp4 129.5 MB
  • ~Get Your Files Here !/5. Applying MAB In Robotics/3. Demonstrating Automatic Learning On The Robot.mp4 122.6 MB
  • ~Get Your Files Here !/6. Appendix/3. Running Programs On The EV3.mp4 111.7 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 110.7 MB
  • ~Get Your Files Here !/4. The MAB Algorithm/2. Rewards Definitions For MAB Problems.mp4 105.9 MB
  • ~Get Your Files Here !/6. Appendix/8. Sweeping Angles At Specific Speeds.mp4 93.4 MB
  • ~Get Your Files Here !/6. Appendix/4. Sensing Touch.mp4 60.3 MB
  • ~Get Your Files Here !/6. Appendix/9. Running Rotations At Specific Speeds.mp4 51.3 MB
  • ~Get Your Files Here !/6. Appendix/1. Installing EV3 MicroPython.mp4 50.0 MB
  • ~Get Your Files Here !/6. Appendix/6. Controlling LED Lights.mp4 48.2 MB
  • ~Get Your Files Here !/6. Appendix/5. Waiting For Touch Events.mp4 44.0 MB
  • ~Get Your Files Here !/6. Appendix/10. Running Motors For Set Times.mp4 25.5 MB
  • ~Get Your Files Here !/6. Appendix/2. Installing The VS Code Extension.mp4 20.4 MB
[磁力链接] 添加时间:2022-03-07 大小:2.7 GB 最近下载:2025-09-30 热度:4216


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