🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
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Updated
Jan 29, 2026 - Python
🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
Open-source implementation of "RL Token: Bootstrapping Online RL with Vision-Language-Action Models"
[AAAI 2026] D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss.
Official implementation of COST-HIL: Cost-Aware Human-in-the-Loop Reinforcement Learning for Real-World Dexterous Manipulation. This repo contains source codes, experiment logs, real-robot test scripts and supplementary materials for our CVPR submission.
Official implementation of HABC: Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes.
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