dqn-pytorch

A PyTorch library for building deep reinforcement learning agents.

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Deep Q-Learning (DQN) implementation for Atari pong.

Graph-based Deep Q Network for Web Navigation

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

PyTorch agents and tools for (Deep) Reinforcement Learning

Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.

Multi-agent reinforcement learning framework

Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.

Solving Atari Pong Game w/ Duel Double DQN in Pytorch

Reinforcement Learning Tutorials & other bedtime stories in PyTorch

Reinforcement learning modular with pytorch

This code is the result of the collaboration of RL Turkey team.

Unity 강화학습 알고리즘 및 게임 환경을 제공합니다.

Use the movements of your thumb to play Pong against a pre-trained Double-DQN-Agent. I used Google-Colab for training the pyTorch model and created the Pong environment with Pygame.

RL based agent for atari games