8 citations · 29 across the 13 of their papers we have counts for
4 papers · 1 filter
Robust Reinforcement Learning Under Minimax Regret for Green Security
Lily Xu, Andrew Perrault, Fei Fang +2
Green security domains feature defenders who plan patrols in the face of uncertainty about the adversarial behavior of poachers, illegal loggers, and illegal fishers. Importantly,…
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
Haipeng Chen, Wei Qiu, Han-Ching Ou +2
The influence maximization (IM) problem aims at finding a subset of seed nodes in a social network that maximize the spread of influence. In this study, we focus on a sub-class of…
AI-driven Prices for Externalities and Sustainability in Production Markets
Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen +2
Traditional competitive markets do not account for negative externalities; indirect costs that some participants impose on others, such as the cost of over-appropriating a common-p…
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
Han-Ching Ou, Haipeng Chen, Shahin Jabbari +1
Active screening is a common approach in controlling the spread of recurring infectious diseases such as tuberculosis and influenza. In this approach, health workers periodically s…