3 papers
cs.MA2026
Distributionally Robust Markov Games with Average Reward
Zachary Roch, Yue Wang
We propose and study distributionally robust Markov games (DR-MGs) with the average-reward criterion as a crucial framework for multi-agent decision-making under model mismatches a…
cs.LG2026
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
Zachary Roch, George Atia, Yue Wang
Robust reinforcement learning (RL) under the average-reward criterion is essential for long-term decision-making, particularly when the environment may differ from its training dyn…
cs.CR2024
Blockchain Services for Digital Government: An Exploration of NFT Applications in the Metaverse
Zachary Roch, Ramya Akula
The full implementation of the metaverse requires the integration of the physical and digital worlds. Applications built on Distributed Ledger Technology (DLT) hold the power to mo…