Showing 1–20 of 43 results
/ Date/ Name
Feb 4, 2024Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation LearningJul 31, 2023Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network ControllerSep 8, 2024Enhancing the Performance of Multi-Vehicle Navigation in Unstructured Environments using Hard Sample MiningOct 27, 2023Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-OptNov 10, 2024MA-DV2F: A Multi-Agent Navigation Framework using Dynamic Velocity Vector FieldOct 14, 2022Learning Generalizable Models for Vehicle Routing Problems via Knowledge DistillationJun 12, 2023Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated VehiclesJun 22, 2025Learning to Segment for Vehicle Routing ProblemsOct 28, 2024Learning to Handle Complex Constraints for Vehicle Routing ProblemsApr 25, 2022Efficient Neural Neighborhood Search for Pickup and Delivery ProblemsOct 12, 2023MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement LearningMar 2, 2024LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code GenerationOct 6, 2021Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative TransformerOct 26, 2021Fault-Tolerant Federated Reinforcement Learning with Theoretical GuaranteeNov 22, 2022Decision-making with Speculative Opponent ModelsAug 7, 2024Hierarchical Neural Constructive Solver for Real-world TSP ScenariosDec 10, 2024ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement LearningFeb 18, 2025Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop SchedulingFeb 17, 2026Towards Efficient Constraint Handling in Neural Solvers for Routing ProblemsApr 6, 2023GPT detectors are biased against non-native English writers