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

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

Really Fast End-to-End Jax RL Implementations

A curated list of Monte Carlo tree search papers with implementations.

A PyTorch library for building deep reinforcement learning agents.

Guided Policy Search

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Framework for Multi-Agent Deep Reinforcement Learning in Poker

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

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

NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms