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06/13/2021
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
The influence maximization (IM) problem aims at finding a subset of seed...
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06/06/2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
In the predict-then-optimize framework, the objective is to train a pred...
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01/07/2021
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
Active screening is a common approach in controlling the spread of recur...
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12/09/2020
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
As one of the most powerful topic models, Latent Dirichlet Allocation (L...
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06/07/2020
Learning Behaviors with Uncertain Human Feedback
Human feedback is widely used to train agents in many domains. However, ...
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06/03/2020
