Warning: code maybe not applicable, more of personal scripts without good structures.
A simple demo during Reinforcement Learning study.
Algorithm included:
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Policy Evaluation
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Value Iteration
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Policy Iteration
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Truncated Policy Iteration
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Monte-Carlo(MC) Search
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Monte-Carlo(MC) Basic Policy Evaluation
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Monte-Carlo(MC) ε-Greedy
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Sarsa
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Q-learning[on-policy]
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Q-learning[off-policy]
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Deep Q-Network(DQN)
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Advantage Actor-Critic(A2C)