@@ -54,11 +54,11 @@ The major component of the RL method is the table of weights - <b>Q-table</b> of
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5555## Content
5656Codes (it'll send you to appropriate folder):
57- * [ RL_Q-Learning_E-1] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Q-Learning_E1 )
58- * [ RL_Q-Learning_E-2] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Q-Learning_E2 )
59- * [ RL_Q-Learning_E-3] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Q-Learning_E3 )
60- * [ RL_Sarsa_E-1] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Sarsa_E1 )
61- * [ RL_Sarsa_E-2] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Sarsa_E2 )
57+ * [ RL_Q-Learning_E-1.py ] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Q-Learning_E1 )
58+ * [ RL_Q-Learning_E-2.py ] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Q-Learning_E2 )
59+ * [ RL_Q-Learning_E-3.py ] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Q-Learning_E3 )
60+ * [ RL_Sarsa_E-1.py ] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Sarsa_E1 )
61+ * [ RL_Sarsa_E-2.py ] ( https://github.com/sichkar-valentyn/Reinforcement_Learning_in_Python/tree/master/RL_Sarsa_E2 )
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6464Experimental results (figures and tables on this page):
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