Reinforcement-Learning

(β˜… 208)

PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.

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  • .gitignore
  • actor_critic_cartpole.py
  • Conservative_Q_Learning_OfflineRL.md
  • Curiosity-drivenExploration.md
  • custom_envs.py
  • deep_deterministic_policy_gradients_ddpg.py
  • dqn.py
  • dqn_play.py
  • dqnlogs.txt
  • dynamic_programming_policy_iteration_frozen_lake.py
  • dynamic_programming_value_iteration_taxi_v3_.py
  • dynaQ_dynaQplus_shortcut_maze_env.py
  • GeneralizedAdvantageEstimation_EligibiltyTrace.md
  • imitation_learning.md
  • imitation_learning.py
  • LICENSE
  • mcts_alphaGo.md
  • monte_carlo_blackjack.py
  • monte_carlo_policy_gradient.py
  • naive_mcts_monte_carlo_tree_search_connect2.py
  • notes.md
  • notes2.md
  • ppo_continuous_action_space_BipedalWalker-v3.py
  • ppo_continuous_action_space_GAE_Ant-v5.py
  • ppo_continuous_action_space_GAE_HalfCheetah-v5.py
  • ppo_lunar_lander.py
  • prioritized_sweep_Dyna-Q_maze_env.py
  • qlearning_sarsa_expectedsarsa_on_cliff_walking.py
  • README.md
  • requirements.txt
  • RLHF.md
  • shortcutmaze.py
  • soft_actor_critic_inverted_double_pendulum.py
  • soft_actor_critic_inverted_HalfCheetah-v5.py

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