General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.

A latent text-to-image diffusion model

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.

Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.

An open autonomous driving platform

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

Library for Model Based RL

Mastering Atari with Discrete World Models

Dream to Control: Learning Behaviors by Latent Imagination

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

waifu2xのCaffe版

MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforcement learning algorithms.

The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.

DSAC; Distributional Soft Actor-Critic

Tensorflow prebuilt binary for Windows

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Author's PyTorch implementation of TD3 for OpenAI gym tasks

Models and examples built with TensorFlow

Soft Actor-Critic

A curated list of awesome Deep Reinforcement Learning resources

For deep RL and the future of AI.

Reinforcement learning resources curated