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accel_rl

Accelerated Methods for Deep Reinforcement Learning

acme

A library of reinforcement learning components and agents

adeptrl

Reinforcement learning framework to accelerate research

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

ape-x

This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"

apex

A continuous deep reinforcement learning framework for robotics

aslip-rl

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

benchmark

bpref

Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

carl

https://carl.readthedocs.io/en/latest/

cause-life-is-a-game

Solving games with reinforcement learning

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC)

coach

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

coax

Modular framework for Reinforcement Learning in python

cobs

OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.

coltra-rl

A modular implementation of PPO, and soon hopefully other algorithms.

corl

High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC

cpprb

Fast Flexible Replay Buffer Library (Mirror repository of https://gitlab.com/ymd_h/cpprb)

cule

CuLE: A CUDA port of the Atari Learning Environment (ALE)

d3rlpy

An offline deep reinforcement learning library

d4pg-pytorch

PyTorch implementation of Distributed Distributional Deterministic Policy Gradients (https://arxiv.org/abs/1804.08617)

dapo

Source code for the paper "Divergence-Augmented Policy Optimization"

deep-reinforcement-learning-algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deeprl_algorithms

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