Datasets with baselines for Offline MARL.

The official implementation of flow Q-learning (FQL)

Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr0…

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set …

A benchmark for offline goal-conditioned RL and offline RL

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically ground…

Official code for "UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy" (CVPR 2023)

A feed-forward 3D foundation model for reconstructing scenes from streaming data

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)

The agent that grows with you

[NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization"

Official Code Release of SAGE: Scalable Agentic 3D Scene Generation for Embodied AI

SAM 3D Objects

Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024, TPAMI 2026

[ICRA 2026] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Isaac Gym Reinforcement Learning Environments

Unified framework for robot learning built on NVIDIA Isaac Sim

Fast, accurate & comprehensive text measurement & layout

GTP engine and self-play learning in Go