Deep Reinforcement Learning

Multimodal Agents: From Automation toward Open-Ended Self-Improvement

Mingchen Zhuge, Ph.D. Student, Computer Science

May 9, 17:30 - 19:30

B4 R5220; Zoom Meeting 91489077683

AI agents coding Multi-agent systems world models recursive self-improvement LLM Deep Reinforcement Learning

This thesis presents practical methodologies for building scalable multimodal agents that move from narrow automation toward open-ended self-improvement.