Popular GitHub Repositories for Soft Actor Critic

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 (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

PyTorch implementation of soft actor critic

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

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

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

Combining deep learning and reinforcement learning.

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

PyTorch implementation of the discrete Soft-Actor-Critic algorithm.

PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm

DRL-based path planner for real quadrotor

A Pytorch Implementation of Multi Agent Soft Actor Critic

PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020