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).

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

The Fastest Deep Reinforcement Learning Library

PyTorch implementation of Soft Actor-Critic (SAC)

PyTorch C++ Reinforcement Learning

PyTorch implementation of Trust Region Policy Optimization

PyTorch Implementation of REINFORCE for both discrete & continuous control

Code for the paper "Evolved Policy Gradients"

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Tensorflow implementation of generative adversarial imitation learning

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)

Implement A3C for Mujoco gym envs

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Catalyst.RL: A Distributed Framework for Reproducible RL Research

A workbench for online model-free Reinforcement Learning on continuous control problems

Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.

PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

Proximal Policy Optimization (Continuous Version) in PyTorch.

Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)