3 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.LG2026
A perspective on fluid mechanical environments for challenges in reinforcement learning
Shruti Mishra, Michael Chang, Vamsi Spandan +1
We consider the challenge of developing agents that efficiently interact with high-dimensional, evolving environments, towards a view of practical reinforcement learning (RL) agent…
cs.LG2025
Physical Reinforcement Learning
Sam Dillavou, Shruti Mishra
Digital computers are power-hungry and largely intolerant of damaged components, making them potentially difficult tools for energy-limited autonomous agents in uncertain environme…