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20232026
most citedNo-Regret Online Reinforcement Learning with Adversarial Losses and Transitions

1 citations · 1 across the 7 of their papers we have counts for

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cs.GT2025

Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals

Junyan Liu, Arnab Maiti, Artin Tajdini +2

We initiate the study of a repeated principal-agent problem over a finite horizon , where a principal sequentially interacts with types of agents arriving in an advers…

cs.LG2025

Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality

Junyan Liu, Ziyun Chen, Kun Wang +2

We study the Pandora's Box problem in an online learning setting with semi-bandit feedback. In each round, the learner sequentially pays to open up to boxes with unknown reward…