Massively Parallel Deep Reinforcement Learning. 🔥
Softlearning is a reinforcement learning framework for training maximum ...
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD...
PyTorch implementation of soft actor critic
This repository contains most of pytorch implementation based classic de...
A PyTorch library for building deep reinforcement learning agents.
32 projects in the framework of Deep Reinforcement Learning algorithms: ...
PyTorch implementation of Soft Actor-Critic (SAC)
Reinforcement Learning for real-time applications - host of the TrackMan...
RAD: Reinforcement Learning with Augmented Data
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement l...
DeepRL algorithms implementation easy for understanding and reading with...
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience R...
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
A pytorch tutorial for DRL(Deep Reinforcement Learning)