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cs.RO2026
Chunk-wise Model-based Policy Optimization
Weixi Song, Donglin Wang, Yong-Lu Li
Model-based reinforcement learning has shown superior sample efficiency by leveraging the learned latent dynamics either in the form of derivative-free planning/imagined rollout tr…
cs.RO2026
ATHENA: Accelerated Multi-Task Heterogeneous Influence Functions for Robot Data Curation
Tao Xu, Jiaxin Wang, Runhao Zhang +7
In robot imitation learning, influence functions provide a principled approach to quantify each demonstration's effect on robot task outcomes, yet scaling them to billion-parameter…