RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF ...
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
A powerful software tool capable of accurately modeling how cameras capture light could help democratize the development of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback