Showing 1–20 of 56 results
/ Date/ Name
Dec 3, 2018Resource Constrained Deep Reinforcement LearningNov 26, 2023Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement LearningJul 27, 2022Towards Soft Fairness in Restless Multi-Armed BanditsDec 4, 2023Training Reinforcement Learning Agents and Humans With Difficulty-Conditioned GeneratorsMar 26, 2024Imitating Cost-Constrained Behaviors in Reinforcement LearningDec 11, 2024IRL for Restless Multi-Armed Bandits with Applications in Maternal and Child HealthMar 11, 2025Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off FlexibilityMar 2, 2025On Generalization Across Environments In Multi-Objective Reinforcement LearningDec 19, 2024Offline Safe Reinforcement Learning Using Trajectory ClassificationSep 16, 2020Competitive Ratios for Online Multi-capacity RidesharingMar 7, 2021Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health OutcomesMay 17, 2021Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive HealthcareJun 8, 2022Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed BanditsFeb 14, 2023Regret-Based Defense in Adversarial Reinforcement LearningOct 16, 2012Uncertain Congestion Games with Assorted Human Agent PopulationsJun 15, 2024Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuningDec 23, 2025Offline Safe Policy Optimization From Heterogeneous FeedbackJun 28, 2024Safety through feedback in Constrained RLAug 15, 2025FairVizARD: A Visualization System for Assessing Multi-Party Fairness of Ride-Sharing Matching AlgorithmsOct 16, 2012Dynamic Stochastic Orienteering Problems for Risk-Aware Applications