2 papers
cs.AI2025
Toward Agents That Reason About Their Computation
Adrian Orenstein, Jessica Chen, Gwyneth Anne Delos Santos +2
While reinforcement learning agents can achieve superhuman performance in many complex tasks, they typically do not become more computationally efficient as they improve. In contra…
cs.RO2025
AARK: An Open Toolkit for Autonomous Racing Research
James Bockman, Matthew Howe, Adrian Orenstein +1
Autonomous racing demands safe control of vehicles at their physical limits for extended periods of time, providing insights into advanced vehicle safety systems which increasingly…