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)

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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'

Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨‍💻

Yet another deep reinforcement learning

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

Example Categorical DQN implementation with ReLAx

Example Rainbow DQN implementation with ReLAx