A SpaceX Rocket Lander environment for OpenAI gym using Box2D

Sampling-based model predictive control on GPU with JAX/MJX

Benchmarks for Multi-Objective Multi-Agent Decision Making

Fast and flexible multi-agent gridworld reinforcement learning environments.

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

A suite of test scenarios for multi-agent reinforcement learning.

Inference code for CodeLlama models

Level-based Foraging (LBF): A multi-agent environment for RL

Reinforcement Learning Environments for Omniverse Isaac Gym

Unified framework for robot learning built on NVIDIA Isaac Sim

Isaac Gym Environments for Legged Robots

Learning from Trajectories via Subgoal Discovery

A collection of robotics simulation environments for reinforcement learning

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

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

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

Using Natural Language for Reward Shaping in Reinforcement Learning

Simple and easily configurable grid world environments for reinforcement learning

ROS package for motion capture system in IRL UIUC

Reinforcement Learning in PyTorch

The Julia Programming Language

Risk-Sensitive Sequential Action Control Algorithm with Multi-Modal Human Trajectory Forecasting in Julia

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (…

Official Matplotlib cheat sheets

Working directory for dynamics learning for experimental robots.