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@@ -20,7 +20,7 @@ Introduction(2nd)](http://incompleteideas.net/book/the-book-2nd.html). One of
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our main goals is to help users understand the basic concepts of reinforcement
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learning from an engineer's perspective. Once you have grasped how different
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components are organized, you're ready to explore a wide variety of modern deep
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reinforcement learning algorithms in [ReinforcementLearningZoo.jl](https://github.com/JuliaReinforcementLearning/ReinforcementLearningZoo.jl).
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reinforcement learning algorithms in [ReinforcementLearningZoo.jl](https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/tree/master/src/ReinforcementLearningZoo).
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## How to use?
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@@ -62,3 +62,7 @@ For experienced users with the latest stable Julia properly installed:
-[Chapter12 Random Walk.jl](https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter12_Random_Walk.jl)
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-[Chapter13 Short Corridor.jl](https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter13_Short_Corridor.jl)
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## Useful Links
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-[Solutions of the book exercises : Reinforcement Learning 2nd Edition](https://github.com/LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions)
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