# Book_李宏毅老師Deep Reinforcement Learning 2018課程筆記 ###### tags: `book` 台大李宏毅老師Deep Reinforcement Learning 2018課程筆記 [課程撥放清單](https://www.youtube.com/playlist?list=PLJV_el3uVTsODxQFgzMzPLa16h6B8kWM_) 課程筆記 --- - [李宏毅_DRL Lecture 1: Policy Gradient (Review)](https://hackmd.io/@shaoeChen/HkH2hSKuS) - [李宏毅_DRL Lecture 2: Proximal Policy Optimization (PPO)](https://hackmd.io/@shaoeChen/Syez2AmFr) - [李宏毅_DRL Lecture 3: Q-learning (Basic Idea)](https://hackmd.io/@shaoeChen/SyqVopoYr) - [李宏毅_DRL Lecture 4: Q-learning (Advanced Tips)](https://hackmd.io/@shaoeChen/HyyXreFcB) - [李宏毅_DRL Lecture 5: Q-learning (Continuous Action)](https://hackmd.io/@shaoeChen/By-fACxor) - [李宏毅_DRL Lecture 6: Actor-Critic](https://hackmd.io/@shaoeChen/rkiOH4MoS) - [李宏毅_DRL Lecture 7: Sparse Reward](https://hackmd.io/@shaoeChen/rktZw3xhH) - [李宏毅_DRL Lecture 8: Imitation Learning](https://hackmd.io/@shaoeChen/H1aW8iEhS)
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