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cs.AI2026
Coachable agents for interactive gameplay
Roberto Capobianco, Harm van Seijen, Nolan D. Bard +38
Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic systems, contributing to everything from game playing to robotics to foundation m…
cs.AI2018
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces
G. Zacharias Holland, Erin J. Talvitie, Michael Bowling
Dyna is a fundamental approach to model-based reinforcement learning (MBRL) that interleaves planning, acting, and learning in an online setting. In the most typical application of…