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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Download Latest Version (.zip)
  • .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

# Installation Guide

1. Get the code
git clone https://github.com/VachanVY/Reinforcement-Learning

Downloads the entire project code from GitHub to your computer.

cd Reinforcement-Learning

Moves into the project folder you just downloaded.

2. Python

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install -r requirements.txt # INSTALL REQUIRED LIBRARIES

Installs the Python libraries listed in requirements.txt (or similar).

βœ… If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

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