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cs.LG2026
Performance-Driven Environment Abstraction with Multi-Timescale Learning
Yue Guan, Dipankar Maity, Panagiotis Tsiotras
We study performance-driven environment abstraction for decision-making in large Markov decision processes. Rather than preserving geometric or topological structure, we seek abstr…
cs.LG2026
Enhancing Robustness of Federated Learning via Server Learning
Van Sy Mai, Kushal Chakrabarti, Richard J. La +1
This paper explores the use of server learning for enhancing the robustness of federated learning against malicious attacks even when clients' training data are not independent and…