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zhoubolei committed Jul 4, 2020
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Expand Up @@ -7,14 +7,14 @@ The course is scheduled as follows. There are 10 lectures in total, where the fi

| | Topic | Resources |
|-------------- |---------------------------------------------- |---------- |
| Lecture 1 | Overview (课程概括与RL基础) |[slide](lecture1.pdf), Youtube([part1](https://www.youtube.com/watch?v=IkEF4LpH5Ys), [part2](https://www.youtube.com/watch?v=Qu8CPnnwplM)), B站([上集](https://www.bilibili.com/video/BV1LE411G7Xj/), [下集](https://www.bilibili.com/video/BV1g7411Z7SJ/)) |
| Lecture 2 | Markov Decision Process (马尔科夫决策过程) | [slide](lecture2.pdf), Youtube([part1](https://www.youtube.com/watch?v=6yE9XiIB3hQ), [part2](https://www.youtube.com/watch?v=MIZbocCu7Sk)), B站([上集](https://www.bilibili.com/video/BV1g7411m7Ms/), [下集](https://www.bilibili.com/video/BV1u7411m7rh/)) |
| Lecture 3 | Model-free Prediction and Control (无模型的预测和控制) | [slide](lecture3.pdf), Youtube([part1](https://www.youtube.com/watch?v=Duj1U73yHik), [part2](https://www.youtube.com/watch?v=sfkhinBjGGY)), B站([上集](https://www.bilibili.com/video/BV1N7411Q7aJ/), [下集](https://www.bilibili.com/video/BV1N7411Q7M6/)) |
| Lecture 4 | Value Function Approximation (价值函数近似) |[slide](lecture4.pdf), Youtube([part1](https://www.youtube.com/watch?v=YdWsnB-u8PQ), [part2](https://www.youtube.com/watch?v=fGIaFlbBFxk)), B站([上集](https://www.bilibili.com/video/BV11V411f7bi/), [下集](https://www.bilibili.com/video/BV1w54y1d7se/)) |
| Lecture 5 | Policy Optimization: Foundation (策略优化基础篇) |[slide](lecture5.pdf), Youtube([part1](https://www.youtube.com/watch?v=ProKaoyduFY), [part2](https://www.youtube.com/watch?v=MWXazkQkTlk)), B站([上集](https://www.bilibili.com/video/BV1fZ4y1x7mp/), [下集](https://www.bilibili.com/video/BV1ia4y1x7Va/)) |
| Lecture 6 | Policy Optimization: State of the art (策略优化进阶篇) |[slide](lecture6.pdf), Youtube([part1](https://youtu.be/4YIdjLh-MJs), [part2](https://youtu.be/HOpiQWM0PCA)), B站([上集](https://www.bilibili.com/video/BV1s64y1M7AW/), [下集](https://www.bilibili.com/video/BV1EK41157fD/)) |
| Lecture 7 | Model-based RL (基于环境模型的RL) |[slide](lecture7.pdf), [Youtube](https://youtu.be/2Cy8ZX16pBU), [B站](https://www.bilibili.com/video/BV1hV411d7Sg/)|
| Lecture 8 | Imitation Learning (模仿学习) |[slide](lecture8.pdf), [Youtube](https://youtu.be/Sqvn6RxU8qk), [B站](https://www.bilibili.com/video/BV17k4y1k7Gu/) |
| Lecture 9 | Distributed systems for RL (分布式系统) |[slide](lecture9.pdf), [Youtube](https://youtu.be/PyHGeFFfaWk), [B站](https://www.bilibili.com/video/BV1bi4y147Rv/) |
| Lecture 10 | RL in a nutshell (课程结局篇)|[slide](lecture10.pdf), [Youtube](https://youtu.be/bDGmKVKAdHg), [B站](https://www.bilibili.com/video/BV1si4y1s7oQ/) |
| Lecture1 | Overview (课程概括与RL基础) |[slide](lecture1.pdf), Youtube([part1](https://www.youtube.com/watch?v=IkEF4LpH5Ys), [part2](https://www.youtube.com/watch?v=Qu8CPnnwplM)), B站([上集](https://www.bilibili.com/video/BV1LE411G7Xj/), [下集](https://www.bilibili.com/video/BV1g7411Z7SJ/)) |
| Lecture2 | Markov Decision Process (马尔科夫决策过程) | [slide](lecture2.pdf), Youtube([part1](https://www.youtube.com/watch?v=6yE9XiIB3hQ), [part2](https://www.youtube.com/watch?v=MIZbocCu7Sk)), B站([上集](https://www.bilibili.com/video/BV1g7411m7Ms/), [下集](https://www.bilibili.com/video/BV1u7411m7rh/)) |
| Lecture3 | Model-free Prediction and Control (无模型的预测和控制) | [slide](lecture3.pdf), Youtube([part1](https://www.youtube.com/watch?v=Duj1U73yHik), [part2](https://www.youtube.com/watch?v=sfkhinBjGGY)), B站([上集](https://www.bilibili.com/video/BV1N7411Q7aJ/), [下集](https://www.bilibili.com/video/BV1N7411Q7M6/)) |
| Lecture4 | Value Function Approximation (价值函数近似) |[slide](lecture4.pdf), Youtube([part1](https://www.youtube.com/watch?v=YdWsnB-u8PQ), [part2](https://www.youtube.com/watch?v=fGIaFlbBFxk)), B站([上集](https://www.bilibili.com/video/BV11V411f7bi/), [下集](https://www.bilibili.com/video/BV1w54y1d7se/)) |
| Lecture5 | Policy Optimization: Foundation (策略优化基础篇) |[slide](lecture5.pdf), Youtube([part1](https://www.youtube.com/watch?v=ProKaoyduFY), [part2](https://www.youtube.com/watch?v=MWXazkQkTlk)), B站([上集](https://www.bilibili.com/video/BV1fZ4y1x7mp/), [下集](https://www.bilibili.com/video/BV1ia4y1x7Va/)) |
| Lecture6 | Policy Optimization: State of the art (策略优化进阶篇) |[slide](lecture6.pdf), Youtube([part1](https://youtu.be/4YIdjLh-MJs), [part2](https://youtu.be/HOpiQWM0PCA)), B站([上集](https://www.bilibili.com/video/BV1s64y1M7AW/), [下集](https://www.bilibili.com/video/BV1EK41157fD/)) |
| Lecture7 | Model-based RL (基于环境模型的RL) |[slide](lecture7.pdf), [Youtube](https://youtu.be/2Cy8ZX16pBU), [B站](https://www.bilibili.com/video/BV1hV411d7Sg/)|
| Lecture8 | Imitation Learning (模仿学习) |[slide](lecture8.pdf), [Youtube](https://youtu.be/Sqvn6RxU8qk), [B站](https://www.bilibili.com/video/BV17k4y1k7Gu/) |
| Lecture9 | Distributed systems for RL (分布式系统) |[slide](lecture9.pdf), [Youtube](https://youtu.be/PyHGeFFfaWk), [B站](https://www.bilibili.com/video/BV1bi4y147Rv/) |
| Lecture10 | RL in a nutshell (课程结局篇)|[slide](lecture10.pdf), [Youtube](https://youtu.be/bDGmKVKAdHg), [B站](https://www.bilibili.com/video/BV1si4y1s7oQ/) |

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