Training GUI agents with augmented reasoning data and a tailored post-training recipe
Rui Yang PRO
Ray2333
AI & ML interests
Deep Reinforcement Learning
Recent Activity
upvoted a paper about 4 hours ago
Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory upvoted a paper 1 day ago
AsyncWebRL: Efficient Multi-Step RL for Visual Web Agents authored a paper 7 days ago
OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web AgentsOrganizations
Generalizable Reward Models
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Ray2333/GRM-llama3-8B-sftreg
Text Classification • 8B • Updated • 41 • 5 -
Ray2333/GRM-llama3-8B-distill
Text Classification • 8B • Updated • 33 • 6 -
Ray2333/GRM-Gemma-2B-sftreg
Text Classification • 3B • Updated • 44 • 3 -
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
Paper • 2406.10216 • Published • 2
Training GUI agents with augmented reasoning data and a tailored post-training recipe
Generalizable Reward Models
-
Ray2333/GRM-llama3-8B-sftreg
Text Classification • 8B • Updated • 41 • 5 -
Ray2333/GRM-llama3-8B-distill
Text Classification • 8B • Updated • 33 • 6 -
Ray2333/GRM-Gemma-2B-sftreg
Text Classification • 3B • Updated • 44 • 3 -
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
Paper • 2406.10216 • Published • 2