sparisi

expert-offline-rl

minihack

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

nle

The NetHack Learning Environment

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

garage

A toolkit for reproducible reinforcement learning research.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

pybullet-gym

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

Minigrid

Simple and easily configurable grid world environments for reinforcement learning

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

vel

Velocity in deep-learning research

PyRep

A toolkit for robot learning research.

RLBench

A large-scale benchmark and learning environment.

export_fig

A MATLAB toolbox for exporting publication quality figures

focus-beamertheme

Focus: a minimalist presentation theme for LaTeX Beamer.

trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

retro

Retro Games in Gym

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

pytorch-a2c-ppo-acktr-gail

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).

stylegan

StyleGAN - Official TensorFlow Implementation

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

autograd

Efficiently computes derivatives of numpy code.

modular_rl

Implementation of TRPO and related algorithms

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

dm_control

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

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

mushroom-rl

Python library for Reinforcement Learning.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.