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chuchro3/frozenlake

Created February 24, 2017 21:14
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FrozenLake-v0
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frozenlake
Model free Q-Learning in an MDP style environment
Utilized code from Berkeley's CS188 Reinforcement Learning project
Introduced an epsilon decay to offer a transition between early exploration and late exploitation
QLearning paramters:
alpha = 0.1
epsilon = 1.0
gamma = .99
epsilon_decay = .9995
learning_decay = 1.0
Program paramters:
python openai.py -v FrozenLake-v0
-a 0.1
-e 1.0
-g .99
--learningDecay 1.0
--explorationDecay .9995
-x 10000
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