Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

Official repository for "RLVR-World: Training World Models with Reinforcement Learning" (NeurIPS 2025), https://arxiv.org/abs/2505.13934

Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'25, MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]

Official implementation of Neural Lithography (SIGGRAPH Asia 2023)

Official repository for "Vid2World: Crafting Video Diffusion Models to Interactive World Models" (ICLR 2026), https://arxiv.org/abs/2505.14357

Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles

A hybrid imitation learning benchmark. Consists of a dataset, metrics and an evaluation approach

Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI

Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles

repo for the website of neural litho project

Convert any 3d capture into a segmented scene graph with physics properties

Full workflow from input images to 3dgs with language features segmented into scene graph with predictive physics

1/10 Scale 3D Race Tracks for AutoDRIVE Simulator