Reinforcement-Learning-An-Introduction-Record

閱讀Reinforcement Learning An Introduction這本書的記錄，如果你想學習強化學習，這本書非常值得一讀

雖然是看著寫的，但是還是會試著理解，然後寫下註解，學習上比較有效果。

讀書的心得記錄寫在HackMD上，見下面連結：
https://hackmd.io/@shaoeChen/Syp8clcd_

目前這本書已經有繁體中文，因為自己的心得是有縮減過的，如果想看原始的文章，當然是建議看原文或是買一本繁體中文來翻翻

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Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
Example 3.5_Gridworld.ipynb		Example 3.5_Gridworld.ipynb
Example_13.1_Short corridor with switched actions(REINFORCE).ipynb		Example_13.1_Short corridor with switched actions(REINFORCE).ipynb
Example_4.1_Gridworld.ipynb		Example_4.1_Gridworld.ipynb
Example_4.2_car_rental.ipynb		Example_4.2_car_rental.ipynb
Example_4.3 Gambler's Problem.ipynb		Example_4.3 Gambler's Problem.ipynb
Example_5.1_Blackjack.ipynb		Example_5.1_Blackjack.ipynb
Example_5.1_Blackjack_epsilon_greedy.ipynb		Example_5.1_Blackjack_epsilon_greedy.ipynb
Example_5.1_Blackjack_off_policy_weighted_important_sampling.ipynb		Example_5.1_Blackjack_off_policy_weighted_important_sampling.ipynb
Example_6.2_random_walk.ipynb		Example_6.2_random_walk.ipynb
Example_6.3_random_walk_batch_update.ipynb		Example_6.3_random_walk_batch_update.ipynb
Example_6.5_Windy Gridworld.ipynb		Example_6.5_Windy Gridworld.ipynb
Example_6.6_Cliff Walking.ipynb		Example_6.6_Cliff Walking.ipynb
Example_6.7_maximization_bias_double_Q.ipynb		Example_6.7_maximization_bias_double_Q.ipynb
Example_7.1_ n_step TD Methods on the Random Walk.ipynb		Example_7.1_ n_step TD Methods on the Random Walk.ipynb
Example_8.1_Dyna Maze.ipynb		Example_8.1_Dyna Maze.ipynb
Example_8.2_Blocking Maze.ipynb		Example_8.2_Blocking Maze.ipynb
Example_8.3_Shortcut Maze.ipynb		Example_8.3_Shortcut Maze.ipynb
Example_8.4_Prioritized Sweeping on Mazes.ipynb		Example_8.4_Prioritized Sweeping on Mazes.ipynb
README.md		README.md