The Alberta Plan for AI Research: Continual Reinforcement Learning
Outlines a roadmap for continual, agent-centric intelligence built from online temporal-difference prediction, meta-step-size adaptation, and learned predictive world models.
Professor of Computing Science & Turing Laureate, University of Alberta
Self-contained public lectures, keynote addresses, and research seminars.
Outlines a roadmap for continual, agent-centric intelligence built from online temporal-difference prediction, meta-step-size adaptation, and learned predictive world models.