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

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

PyTorch implementation of Trust Region Policy Optimization

An open source robotics benchmark for meta- and multi-task reinforcement learning

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

Simple kinematics calculation toolkit for robotics

An elegant PyTorch deep reinforcement learning library.

Python library for Reinforcement Learning.

PyTorch implementation of Soft Actor-Critic (SAC)

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Reinforcement learning algorithms for MuJoCo tasks

DrQ: Data regularized Q

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Walkthroughs for DSL, AirSim, the Vector Institute, and more

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

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

PyTorch Implementation of REINFORCE for both discrete & continuous control

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms