2 papers
cs.LG2026
Distributional Inverse Reinforcement Learning
Feiyang Wu, Ye Zhao, Anqi Wu
We propose a distributional framework for offline Inverse Reinforcement Learning (IRL) that jointly models uncertainty over reward functions and full distributions of returns. Unli…
cs.RO2026
Hierarchical Diffusion Motion Planning with Task-Conditioned Uncertainty-Aware Priors
Amelie Minji Kim, Anqi Wu, Ye Zhao
We propose a novel hierarchical diffusion planner that embeds task and motion structure directly into the noise model. Unlike standard diffusion-based planners that rely on zero-me…