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).

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

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

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

Python library for Reinforcement Learning.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

PyTorch implementation of Trust Region Policy Optimization

DrQ: Data regularized Q

PyTorch Implementation of REINFORCE for both discrete & continuous control

Reinforcement learning algorithms for MuJoCo tasks

PyTorch implementation of Soft Actor-Critic (SAC)

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

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

Implement A3C for Mujoco gym envs

Trajectory optimization algorithms for robotic control.

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

Simulator of UR5 robotic arm with Robotiq gripper, built with MuJoCo

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

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

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'

Iterative LQG for a couple of MuJoCo models

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

Catalyst.RL: A Distributed Framework for Reproducible RL Research

ROS integration of Mujoco simulator

Deep Developmental Reinforcement Learning

Simple kinematics calculation toolkit for robotics

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.