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[103rd TrustML Young Scientist Seminar] Talk by Prof. Huaxiu Yao (University of North Carolina at Chapel Hill) "Building AI Agents That Act, Learn, and Evolve"

Prof. Huaxiu Yao on building AI agents that act, learn, and evolve — Agent World Model, SkillRL, MetaClaw, SimpleMem, ClawArena.

When
Where
Hybrid
Organizer
RIKEN Center for Advanced Intelligence Project
Language
EN
Source
Doorkeeper
[103rd TrustML Young Scientist Seminar] Talk by Prof. Huaxiu Yao (University of North Carolina at Chapel Hill) "Building AI Agents That Act, Learn, and Evolve"

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Summary

The 103rd TrustML Young Scientist Seminar features Prof. Huaxiu Yao (University of North Carolina at Chapel Hill) presenting "Building AI Agents That Act, Learn, and Evolve." The talk introduces a full-stack approach to agentic LLMs that overcomes the static-after-deployment limitation of current models, covering Agent World Model (auto-synthesized executable training environments), SkillRL (extracting reusable skills from successes and failures), MetaClaw (learning from natural interactions and idle-time fine-tuning), SimpleMem (lifelong memory via semantic compression across text/image/audio/video), and ClawArena (benchmark for evolving information environments). Held hybrid; open-space attendance restricted to AIP researchers, online attendance is open.

About the community

TrustML Young Scientist Seminar series — recurring research talks on trustworthy and agentic machine learning by emerging scholars, hybrid format with open online attendance.

#ai#machine-learning#agents#llm#reinforcement-learning#research-seminar