23 citations · 35 across the 4 of their papers we have counts for
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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★ 23 cited
Reactive Reinforcement Learning in Asynchronous Environments
Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton +1
The relationship between a reinforcement learning (RL) agent and an asynchronous environment is often ignored. Frequently used models of the interaction between an agent and its en…