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Tsinghua University
- Beijing, China
- https://josh00-lu.github.io/
Highlights
- Pro
Stars
Official PyTorch Implementation of Habitizing Diffusion Planning for Efficient and Effective Decision Making
A Paper List for Humanoid Robot Learning.
[RSS 2024]: Expressive Whole-Body Control for Humanoid Robots
Isaac Gym Environments for Legged Robots
An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional variability in sampling steps
Official implementation of Diffusion Model-Based Predictor (DMBP) presented in ICLR2024.
Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
AcadHomepage: A Modern and Responsive Academic Personal Homepage
Official PyTorch Implementation of "What Makes a Good Diffusion Planner for Decision Making?" [ICLR 2025 Spotlight]
Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars
[IJCAI'24] An index of algorithms, approaches, and systems on cross-domain policy transfer for embodied agents
🤠 Agent-as-a-Judge and DevAI dataset
[ICLR 2025] Agent S: an open agentic framework that uses computers like a human
zalo / mujoco_wasm
Forked from stillonearth/MuJoCo-WASMSimulate and Render MuJoCo Models in the Browser!
DAC: Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.
Official PyTorch Implementation of "BodyGen: Advancing Towards Efficient Embodiment Co-Design" [ICLR 2025 Spotlight]
Code for "AutoCFR: Learning to Design Counterfatual Regret Minimization Algorithms", AAAI 2022 (Oral)
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
A modular RL library to fine-tune language models to human preferences
SimTK OpenSim models (.osim) and related example files that are distributed with OpenSim.
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.