16 citations · 23 across the 12 of their papers we have counts for
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cs.LG2026
Multi-Agent Reinforcement Learning with Submodular Reward
Wenjing Chen, Chengyuan Qian, Shuo Xing +2
In this paper, we study cooperative multi-agent reinforcement learning (MARL) where the joint reward exhibits submodularity, which is a natural property capturing diminishing margi…
cs.LG2024
Fair Submodular Cover
Wenjing Chen, Shuo Xing, Samson Zhou +1
Submodular optimization is a fundamental problem with many applications in machine learning, often involving decision-making over datasets with sensitive attributes such as gender…
cs.LG2024
Linear Submodular Maximization with Bandit Feedback
Wenjing Chen, Victoria G. Crawford
Submodular optimization with bandit feedback has recently been studied in a variety of contexts. In a number of real-world applications such as diversified recommender systems and…