AI Agent Skills

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

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

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

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

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

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

3D-printed open-source humanoid robot platform for sim-to-real and RL

[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.

K-Sim Gym: Making robots useful with RL. Built on top of K-Sim.

A lightweight robotics RL framework built on Genesis with IsaacLab-aligned APIs, enabling fast task development and easy migration from existing IsaacLab environments.