Showing 21–40 of 60 results
/ Date/ Name
Mar 6, 2026Synthetic Monitoring Environments for Reinforcement LearningMay 4, 2026Linear Decision Tree Policies for Integer Linear ProgramsApr 3, 2023Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time WindowsJan 11, 2022Electric vehicle charge scheduling with flexible service operationsFeb 15, 2024Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution ShiftsMar 22, 2021On the Integration of Battery Electric Buses into Urban Bus NetworksDec 1, 2020Electric Vehicle Charging Station Search in Stochastic EnvironmentsSep 3, 2021On the Interplay between Self-Driving Cars and Public TransportationNov 9, 2025Public Transport Under Epidemic Conditions: Nonlinear Trade-Offs Between Risk and AccessibilityMay 25, 2025Structured Reinforcement Learning for Combinatorial Decision-MakingJun 24, 2025Integrated Balanced and Staggered Routing in Autonomous Mobility-on-Demand SystemsJun 23, 2025Reliability-Adjusted Prioritized Experience ReplayJan 23, 2026Trapped in the past? Disentangling fluid and crystallized intelligence of large language models using chessJan 15, 2026Combinatorial Optimization Augmented Machine LearningJul 14, 2022Driver Routing and Scheduling with Synchronization ConstraintsDec 9, 2022Driver-aware charging infrastructure designDec 14, 2022Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsMar 14, 2024On the Impact of Co-Optimizing Station Locations, Trip Assignment, and Charging Schedules for Electric BusesJul 1, 2022Designing Tractable Piecewise Affine Policies for Multi-Stage Adjustable Robust OptimizationMar 14, 2025Exploring Competitive and Collusive Behaviors in Algorithmic Pricing with Deep Reinforcement Learning