2 papers
cs.AI2026
Coachable agents for interactive gameplay
Roberto Capobianco, Harm van Seijen, Nolan D. Bard +39
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.LG2025
On the Interplay Between Sparsity and Training in Deep Reinforcement Learning
Fatima Davelouis, John D. Martin, Michael Bowling
We study the benefits of different sparse architectures for deep reinforcement learning. In particular, we focus on image-based domains where spatially-biased and fully-connected a…