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deep_ope

deep_reinforcement_learning_gallery

Deep reinforcement learning with tensorflow2

deep_rl

PyTorch implementations of deep reinforcement learning algorithms

deer

DEEp Reinforcement learning framework

deluca

Performant, differentiable reinforcement learning

distributedrl

A framework for easy prototyping of distributed reinforcement learning algorithms

dm_control

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

dm_memorytasks

A set of 13 diverse machine-learning tasks that require memory to solve.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

douzero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

dreamerv2

Mastering Atari with Discrete World Models

easyreinforcementlearning

EasyRL

elegantrl

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

embodied

Fast reinforcement learning research

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

explorer

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

fast-marl

FAST iteration of MARL research ideas: A starting point for Multi-Agent Reinforcement Learning

fastpbrl

Vectorization techniques for fast population-based training.

ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

gala

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

garage

A toolkit for reproducible reinforcement learning research.

genrl

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

godot_rl_agents

gym-unrealcv

Unreal environments for reinforcement learning

gymnax-blines

Baselines for gymnax 🤖

haiku-baseline

hands-on-rl

https://hrl.boyuai.com/

handyrl

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

hts-rl

jax-rl

JAX implementations of core Deep RL algorithms