Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Judging the Judges: Confidence and Disagreement in Rubrics as Rewards
Michael Tian-Yue Liu, Anne Harrington, Trevor Darrell +1
Rubrics as Rewards (RaR) extends reinforcement learning to non-verifiable domains by using an LLM judge to score responses against a structured rubric. Prior work has focused on im…
cs.CV2026
Lifting Embodied World Models for Planning and Control
Alex N. Wang, Trevor Darrell, Pavel Izmailov +2
World models of embodied agents predict future observations conditioned on an action taken by the agent. For complex embodiments, action spaces are high-dimensional and difficult t…