Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

PyTorch implementation of soft actor critic

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

A PyTorch library for building deep reinforcement learning agents.

Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.

Proto-RL: Reinforcement Learning with Prototypical Representations

Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from Demonstration Algorithm.

JAX implementations of core Deep RL algorithms

Combining deep learning and reinforcement learning.

ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and DeepMind Control Suite. Algorithms included: CTD4, DDPG, DQN, PPO, SAC, TD3, TQC

A Torch Based RL Framework for Rapid Prototyping of Research Papers

Single-file pytorch implementation of hybrid-SAC