3 papers
cs.LG2026
Intervention Efficiency and Perturbation Validation Framework: Capacity-Aware and Robust Clinical Model Selection under the Rashomon Effect
Yuwen Zhang, Viet Tran, Paul Weng
In clinical machine learning, the coexistence of multiple models with comparable performance (a manifestation of the Rashomon Effect) poses fundamental challenges for trustworthy d…
cs.LG2025
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
Shilong Deng, Zetao Zheng, Hongcai He +2
A major challenge in Reinforcement Learning (RL) is the difficulty of learning an optimal policy from sparse rewards. Prior works enhance online RL with conventional Imitation Lear…
cs.LG2024
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
Jiangdong Fan, Hongcai He, Paul Weng +2
A major bottleneck in imitation learning is the requirement of a large number of expert demonstrations, which can be expensive or inaccessible. Learning from supplementary demonstr…