HF Deep RL Class

第 0 单元3 章

1. 01Discord 101markdown
2. 02Welcome to the 🤗 Deep Reinforcement Learning Coursemarkdown
3. 03Setupmarkdown

第 1 单元13 章

1. 04Additional Readingsmarkdown
2. 05Conclusionmarkdown
3. 06The “Deep” in Reinforcement Learningmarkdown
4. 07The Exploration/Exploitation trade-offmarkdown
5. 08Glossarymarkdown
6. 09Train your first Deep Reinforcement Learning Agent 🤖markdown
7. 10Introduction to Deep Reinforcement Learningmarkdown
8. 11Quizmarkdown

另有 5 章 · 进入站内阅读查看完整目录

第 2 单元15 章

1. 17Additional Readingsmarkdown
2. 18The Bellman Equation: simplify our value estimationmarkdown
3. 19Conclusionmarkdown
4. 20Glossarymarkdown
5. 21Hands-onmarkdown
6. 22Introduction to Q-Learningmarkdown
7. 23Monte Carlo vs Temporal Difference Learningmarkdown
8. 24Mid-way Quizmarkdown

另有 7 章 · 进入站内阅读查看完整目录

第 3 单元9 章

1. 32Additional Readingsmarkdown
2. 33Conclusionmarkdown
3. 34The Deep Q-Learning Algorithmmarkdown
4. 35The Deep Q-Network (DQN)markdown
5. 36From Q-Learning to Deep Q-Learningmarkdown
6. 37Glossarymarkdown
7. 38Hands-onmarkdown
8. 39Deep Q-Learningmarkdown

另有 1 章 · 进入站内阅读查看完整目录

第 4 单元10 章

1. 41Additional Readingsmarkdown
2. 42The advantages and disadvantages of policy-gradient methodsmarkdown
3. 43Conclusionmarkdown
4. 44Glossarymarkdown
5. 45Hands onmarkdown
6. 46Introductionmarkdown
7. 47(Optional) the Policy Gradient Theoremmarkdown
8. 48Diving deeper into policy-gradient methodsmarkdown

另有 2 章 · 进入站内阅读查看完整目录

第 5 单元9 章

1. 51Bonus: Learn to create your own environments with Unity and MLAgentsmarkdown
2. 52Conclusionmarkdown
3. 53(Optional) What is Curiosity in Deep Reinforcement Learning?markdown
4. 54Hands-onmarkdown
5. 55How do Unity ML-Agents work?markdown
6. 56An Introduction to Unity ML-Agentsmarkdown
7. 57The Pyramid environmentmarkdown
8. 58Quizmarkdown

另有 1 章 · 进入站内阅读查看完整目录

第 6 单元7 章

1. 60Additional Readingsmarkdown
2. 61Advantage Actor-Critic (A2C)markdown
3. 62Conclusionmarkdown
4. 63Advantage Actor Critic (A2C) using Robotics Simulations with Panda-Gym 🤖markdown
5. 64Introductionmarkdown
6. 65Quizmarkdown
7. 66The Problem of Variance in Reinforcemarkdown

第 7 单元8 章

1. 67Additional Readingsmarkdown
2. 68Conclusionmarkdown
3. 69Hands-onmarkdown
4. 70An introduction to Multi-Agents Reinforcement Learning (MARL)markdown
5. 71Introductionmarkdown
6. 72Designing Multi-Agents systemsmarkdown
7. 73Quizmarkdown
8. 74Self-Play: a classic technique to train competitive agents in adversarial gamesmarkdown

第 8 单元10 章

1. 75Additional Readingsmarkdown
2. 76Introducing the Clipped Surrogate Objective Functionmarkdown
3. 77Conclusionmarkdown
4. 78Conclusionmarkdown
5. 79Hands-onmarkdown
6. 80Hands-on: advanced Deep Reinforcement Learning. Using Sample Factory to play Doom from pixelsmarkdown
7. 81Introduction to PPO with Sample-Factorymarkdown
8. 82Introductionmarkdown

另有 2 章 · 进入站内阅读查看完整目录

其他30 章

1. 85The certification processmarkdown
2. 86Congratulationsmarkdown
3. 87Live 1: How the course work, Q&A, and playing with Huggymarkdown
4. 88Conclusionmarkdown
5. 89How Huggy worksmarkdown
6. 90Introductionmarkdown
7. 91Play with Huggymarkdown
8. 92Let's train and play with Huggy 🐶markdown

另有 22 章 · 进入站内阅读查看完整目录