4 papers · 1 filter
A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong
Nima Kelidari, Mohammadsaeed Haghi, Mahdi Salmani
Reinforcement learning agents for imperfect-information card games are only as strong as the opponents they train against, and they are hard to grade, since they beat a random oppo…
Differentiating Through Dual Prices: End-to-End Policy Learning Under Capacity Constraints
Mohammadsaeed Haghi, Mahdi Salmani, Nima Kelidari +2
Many social services assign scarce resources, such as housing assistance or hospital interventions, to people who arrive one at a time. Each arrival must receive a decision immedia…
Sampling and Loss Weights in Multi-Domain Training
Mahdi Salmani, Pratik Worah, Meisam Razaviyayn +1
In the training of large deep neural networks, there is a need for vast amounts of training data. To meet this need, data is collected from multiple domains, such as Wikipedia and…
Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost Asymmetry
Mahdi Salmani, Alireza Abdollahpoorrostam, Seyed-Mohsen Moosavi-Dezfooli
Traditional decision-based black-box adversarial attacks on image classifiers aim to generate adversarial examples by slightly modifying input images while keeping the number of qu…