4 papers
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…
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…
The Edge of Disaster: A Battle Between Autonomous Racing and Safety
Matthew Howe, James Bockman, Adrian Orenstein +3
Autonomous racing represents a uniquely challenging control environment where agents must act while on the limits of a vehicle's capability in order to set competitive lap times. T…
Autonomy and Perception for Space Mining
Ragav Sachdeva, Ravi Hammond, James Bockman +10
Future Moon bases will likely be constructed using resources mined from the surface of the Moon. The difficulty of maintaining a human workforce on the Moon and communications lag…