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Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning., , , и . IEEE Trans. Ind. Informatics, 19 (2): 1600-1610 (2023)Distilling the Knowledge From Handcrafted Features for Human Activity Recognition., , , и . IEEE Trans. Ind. Informatics, 14 (10): 4334-4342 (2018)A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning., , , , , , и . IEEE Trans. Intell. Transp. Syst., 22 (7): 4716-4726 (2021)GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks., , , и . IEEE Trans. Intell. Transp. Syst., 23 (8): 11575-11590 (2022)Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming., , и . IEEE Trans. Cybern., 53 (5): 2864-2875 (мая 2023)Reinforced Adaptation Network for Partial Domain Adaptation., , , , , , и . IEEE Trans. Circuits Syst. Video Technol., 33 (5): 2370-2380 (мая 2023)A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time., , и . ACM Trans. Intell. Syst. Technol., 9 (3): 25:1-25:21 (2018)Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning., , , , , , , и . CoRR, (2022)MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning., , , , , , , и . CoRR, (2023)An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand., , , , и . Knowl. Based Syst., (2021)