1212 <a href="https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl">
1313 <img src="https://img.shields.io/badge/powered%20by-ReinforcementLearning.jl-brightgreen">
1414 </a>
15- <a href="https://mybinder.org/v2/gh/JuliaReinforcementLearning/ReinforcementLearningAnIntroduction.jl/master">
16- <img src="https://mybinder.org/badge_logo.svg">
17- </a>
1815</p >
1916
2017This project provides the [ Julia] ( https://www.julialang.org/ ) code to generate figures in the book
@@ -27,9 +24,7 @@ reinforcement learning algorithms in [ReinforcementLearningZoo.jl](https://githu
2724
2825## How to use?
2926
30- If you are new to Julia, you can open the notebooks and play interactively at
31- [ TODO: insert mybinder url] or preview the generated ` pdf ` files under the
32- ` previews ` folder.
27+ ### Play Interactively
3328
3429For experienced users with the latest stable Julia properly installed:
3530
@@ -41,4 +36,29 @@ For experienced users with the latest stable Julia properly installed:
4136 1 . ` Pluto.run() `
42371 . Now you can see the Pluto page is opened in your browser. Paste
4338 ` notebooks/Chapter01_Tic_Tac_Toe.jl ` (or any other file under the ` notebooks ` folder) into
44- the input box and click the ` Open ` button.
39+ the input box and click the ` Open ` button.
40+
41+ ### Preview Notebooks
42+
43+ - [ Chapter01 Tic Tac Toe.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter01_Tic_Tac_Toe.jl )
44+ - [ Chapter02 Ten Armed Testbed.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter02_Ten_Armed_Testbed.jl )
45+ - [ Chapter03 Grid World.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter03_Grid_World.jl )
46+ - [ Chapter04 Car Rental.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter04_Car_Rental.jl )
47+ - [ Chapter04 Gambler Problem.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter04_Gambler_Problem.jl )
48+ - [ Chapter04 Grid World.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter04_Grid_World.jl )
49+ - [ Chapter05 Blackjack.jl] (https://juliareinforcementlearning.org/blog/notebooks for_reinforcement_learning_an_introduction/Chapter05_Blackjack.jl)
50+ - [ Chapter05 Left Right.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter05_Left_Right.jl )
51+ - [ Chapter06 Cliff Walking.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter06_Cliff_Walking.jl )
52+ - [ Chapter06 Maximization Bias.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter06_Maximization_Bias.jl )
53+ - [ Chapter06 RandomWalk.jl] (https://juliareinforcementlearning.org/blog/notebooks for_reinforcement_learning_an_introduction/Chapter06_RandomWalk.jl)
54+ - [ Chapter06 Windy Grid World.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter06_Windy_Grid_World.jl )
55+ - [ Chapter07 Random Walk.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter07_Random_Walk.jl )
56+ - [ Chapter08 Expectation VS Sample.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter08_Expectation_VS_Sample.jl )
57+ - [ Chapter08 Maze.jl] (https://juliareinforcementlearning.org/blog/notebooks for_reinforcement_learning_an_introduction/Chapter08_Maze.jl)
58+ - [ Chapter08 Trajectory Sampling.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter08_Trajectory_Sampling.jl )
59+ - [ Chapter09 Random Walk.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter09_Random_Walk.jl )
60+ - [ Chapter10 Access Control.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter10_Access_Control.jl )
61+ - [ Chapter10 Mountain Car.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter10_Mountain_Car.jl )
62+ - [ Chapter11 Counter Example.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter11_Counter_Example.jl )
63+ - [ Chapter12 Random Walk.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter12_Random_Walk.jl )
64+ - [ Chapter13 Short Corridor.jl] ( https://juliareinforcementlearning.org/blog/notebooks_for_reinforcement_learning_an_introduction/Chapter13_Short_Corridor.jl )
0 commit comments