Peter Stone: From How to learn to What to learn in Multiagent Systems and Robotics
Автор: Frontier Artificial General Intelligence (AGI)
Загружено: 2026-02-21
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From How to learn to What to learn in Multiagent Systems and Robotics AAAI 2026 Invited Speakers
Peter Stone
AAAI 2026 Invited Speakers
There has been a lot of exciting recent progress on new and powerful machine learning algorithms and architectures: how to learn. But for autonomous agents acting in the dynamic, uncertain world, it is at least as important to be able to identify which concepts and subproblems to focus on: what to learn.
This talk presents methods for identifying what to learn within the framework of reinforcement learning, focusing especially on applications in multiagent systems and robotics.
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