ReinforcementLearning
PublicProgramming assignments completed for my Reinforcement Learning course: Topics include Bandit Algorithms, Dynamic Programming, policy iteration, Monte-Carlo methods, SARSA, Q-Learning, Dyna-Q/Dyna-Q+, gradient control methods, state aggregation methods, and Deep Q-Learning Networks (DQNs).
bandit-algorithmsdeep-learningdeep-q-networkdeep-reinforcement-learningdyna-qdynamic-programminggradient-descent-algorithmmonte-carlopolicy-gradientpolicy-iteration
Creat：2023-01-15T06:05:55
Update：2024-09-03T15:29:35
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