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

[CoRL 2023] Robot Parkour Learning

[ICRA 2024]: Train your parkour robot in less than 20 hours.

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

RL implementations

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)

A collection of recent MARL papers

Multi-Agent Reinforcement Learning with JAX

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

StarCraft II Learning Environment

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Python Implementation of Reinforcement Learning: An Introduction

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

Training transferable end-to-end quadrotor control policies on a laptop in 18 seconds.

The Fastest Deep Reinforcement Learning Library

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Repo containing code for multi-agent deep reinforcement learning (MADRL).

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

[ICRA] Crowd-aware Robot Navigation

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

Isaac Gym Reinforcement Learning Environments