OpenAI

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

An educational resource to help anyone learn deep reinforcement learning.

A toolkit for developing and comparing reinforcement learning algorithms.

Code for the paper "Exploration by Random Network Distillation"

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

OpenAI Retro Contest

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Code for the paper "On First-Order Meta-Learning Algorithms"

Efficient GPU kernels for block-sparse matrix multiplication and convolution

Retro Games in Gym

Open-source software for robot simulation, integrated with OpenAI Gym.

Make huge neural nets fit in memory

A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface

Code for the paper "Improved Techniques for Training GANs"

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

Fast VNC driver

Code for a single pixel debate game from the paper "AI safety via debate" https://arxiv.org/abs/1805.00899

API to access OpenAI Gym from other languages via HTTP

A batch-optimized scaling manager for Kubernetes

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Publicly releasable baselines for the Retro contest

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Code for "Learning to Generate Reviews and Discovering Sentiment"