Modularized Implementation of Deep RL Algorithms in PyTorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

The implement of all kinds of dqn reinforcement learning with Pytorch

ReLAx - Reinforcement Learning Applications Library

Reinforcement learning algorithm implementation

Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.

Categorical DQN from 'A distributional Perspective on Reinforcement Learning'

Yet another deep reinforcement learning

Pytorch implementation of the Categorical-DQN (C51) reinforcement learning agent along with experiments.