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eess.SY2025
Multi-agent Robust and Optimal Policy Learning for Data Harvesting
Shili Wu, Yancheng Zhu, Aniruddha Datta +1
We consider the problem of using multiple agents to harvest data from a collection of sensor nodes (targets) scattered across a two-dimensional environment. These targets transmit…
cs.LG2025
Robust Behavior Cloning Via Global Lipschitz Regularization
Shili Wu, Yizhao Jin, Puhua Niu +2
Behavior Cloning (BC) is an effective imitation learning technique and has even been adopted in some safety-critical domains such as autonomous vehicles. BC trains a policy to mimi…