About Mingchen Zhuge Mingchen Zhuge Ph.D. Student, Computer Science AI agents coding Multi-agent systems world models recursive self-improvement LLM Reinforcement Learning Mingchen Zhuge's research focuses on scalable multimodal agent systems, including code generation, agent swarms, agentic societies and economies, recursive self-improvement, open-ended evaluation, multimodal reasoning, and neural computers. Events Presented Events May 3 - May 16, 2026 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.
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.
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