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a Python implementation code to study ReinforcementLearning

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util
util
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
batsu_mark.py
batsu_mark.py
 
 
battle_tic_tac_toe_sarsa_r.py
battle_tic_tac_toe_sarsa_r.py
 
 
blackjack.py
blackjack.py
 
 
blackjack_action_value.py
blackjack_action_value.py
 
 
blackjack_on_policy.py
blackjack_on_policy.py
 
 
blackjack_policy.py
blackjack_policy.py
 
 
course.py
course.py
 
 
empty_mark.py
empty_mark.py
 
 
greedy.py
greedy.py
 
 
mark.py
mark.py
 
 
mark_base.py
mark_base.py
 
 
maru_mark.py
maru_mark.py
 
 
mc_on_policy.py
mc_on_policy.py
 
 
mces.py
mces.py
 
 
n_bandit.py
n_bandit.py
 
 
race.py
race.py
 
 
race_action_value.py
race_action_value.py
 
 
race_mc_off_policy.py
race_mc_off_policy.py
 
 
race_mc_on_policy.py
race_mc_on_policy.py
 
 
race_policy.py
race_policy.py
 
 
rental_car_policy.py
rental_car_policy.py
 
 
rental_car_policy_iteration.py
rental_car_policy_iteration.py
 
 
rental_car_status_value.py
rental_car_status_value.py
 
 
rental_car_util.py
rental_car_util.py
 
 
rental_car_value_iteration.py
rental_car_value_iteration.py
 
 
run_bandit.py
run_bandit.py
 
 
run_blackjack.py
run_blackjack.py
 
 
run_blackjack_on_policy.py
run_blackjack_on_policy.py
 
 
run_race_off_policy.py
run_race_off_policy.py
 
 
run_race_on_policy.py
run_race_on_policy.py
 
 
run_tic_tac_toe_qlearning.py
run_tic_tac_toe_qlearning.py
 
 
run_tic_tac_toe_sarsa.py
run_tic_tac_toe_sarsa.py
 
 
run_tic_tac_toe_sarsa_r.py
run_tic_tac_toe_sarsa_r.py
 
 
softmax.py
softmax.py
 
 
tic_tac_toe.py
tic_tac_toe.py
 
 
tic_tac_toe_com_1_sarsa_r.pkl
tic_tac_toe_com_1_sarsa_r.pkl
 
 
tic_tac_toe_com_2_sarsa_r.pkl
tic_tac_toe_com_2_sarsa_r.pkl
 
 
tic_tac_toe_game.py
tic_tac_toe_game.py
 
 
tic_tac_toe_player.py
tic_tac_toe_player.py
 
 
tic_tac_toe_q_learning_com.py
tic_tac_toe_q_learning_com.py
 
 
tic_tac_toe_sarsa_com.py
tic_tac_toe_sarsa_com.py
 
 
tic_tac_toe_sarsa_r_com.py
tic_tac_toe_sarsa_r_com.py
 
 
tic_tac_toe_state.py
tic_tac_toe_state.py
 
 
tic_tac_toe_value.py
tic_tac_toe_value.py
 
 

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ReinforcementLearning

a Python implementation code to study ReinforcementLearning

TextBook

First

Reinforcement Learning: An Introduction [Richard S. Sutton and Andrew G. Barto]

http://people.inf.elte.hu/lorincz/Files/RL_2006/SuttonBook.pdf

Second

強くなるロボディック・ゲームプレイヤーの作り方〜実践で学ぶ強化学習〜 [八谷大岳 and 杉山将]

Copyright (c) 2015 Masahiro Imai Released under the MIT license

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a Python implementation code to study ReinforcementLearning

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