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

Code for evaluation of differential expression methods in single-cell RNA-seq data

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Benchmarking Repository for robosuite + SAC

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

Python Implementation of Reinforcement Learning: An Introduction

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Massively parallel rigidbody physics simulation on accelerator hardware.

Directory Tree Generator

Implementation of ``Actor-Critic Alignment for Offline-to-Online Reinforcement Learning''

Native Ubuntu installations for Apple silicon hardware

An offline deep reinforcement learning library

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

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Lightweight python library for launching experiments and tuning hyperparameters, either locally or on a cluster

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Google Research

An interactive PONG game supported by VGA and FPGA

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

This Pong Game was programmed with Verilog using Altera's FPGA Board and a VGA Interface

Pong game on an FPGA in Verilog.

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)

Code for conservative Q-learning

A collection of offline reinforcement learning algorithms.

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

An elegant PyTorch offline reinforcement learning library for researchers.

A collection of reference environments for offline reinforcement learning

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