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May 2024
A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent SystemsPages 2830–2832

We study a novel setting in Online Markov Decision Processes (OMDPs) where the loss function is chosen by a non-oblivious strategic adversary who follows a no-external regret algorithm. In this setting, we first demonstrate that MDP-Expert, an existing ...
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