A seminar series on Agentic AI: models, tools, memory, multi-agent systems, online learning, and safety, featuring leading researchers and industry experts.
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Recordings (with speaker consent) will be posted on our YouTube channel.
He is an assistant professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He works on trustworthy AI, safe reinforcement learning, foundation models, with applications for cybersecurity, power systems, recommender systems, and CPS.
He is a postdoctoral researcher in the Department of EECS at UC Berkeley. His research focuses on reinforcement learning, planning, and AI safety, with applications in foundation models (e.g., large language models and multimodal models), robotics, and semiconductor manufacturing.
She is an associate professor in AI at King’s College London. She works on reinforcement learning and multi-agent cooperation, with topics such as generalization, zero-shot coordination, evaluation of human and AI players, and social agency (e.g., human-involved learning, safety, and ethics).