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cs.RO2026
Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models
Wonje Jeung, Sangyeon Yoon, Hyesoo Hong +6
Vision-language models are increasingly used as reward functions for robotic learning, but this role requires paraphrase invariance: the same trajectory should receive the same rew…
cs.AI2026
InterPReT: Interactive Policy Restructuring and Training Enable Effective Imitation Learning from Laypersons
Feiyu Gavin Zhu, Jean Oh, Reid Simmons
Imitation learning has shown success in many tasks by learning from expert demonstrations. However, most existing work relies on large-scale demonstrations from technical professio…