rl-steps

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akjayant / Coding_Reinforcement_Learning
Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)
reinforcement-learning grid-world policy-iteration policy-evaluation monte-carlo-simulation blackjack-game monte-carlo-methods rl-steps algorithms policy-gradient dqn atari pong
Language:Jupyter Notebook 3

akjayant / Coding_Reinforcement_Learning