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An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios.

, , , and . ITSC, page 5548-5554. IEEE, (2023)

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Constrained Multi-Agent Reinforcement Learning Policies for Cooperative Intersection Navigation and Traffic Compliance., , , , and . ITSC, page 4079-4085. IEEE, (2023)Establishing Outsourcing and Supply Chain Plans for Prefabricated Construction Projects Under Uncertain Productivity., , and . ICCL, volume 10572 of Lecture Notes in Computer Science, page 529-543. Springer, (2017)Dynamic Pricing in One-Sided Autonomous Ride-Sourcing Markets., , , and . ITSC, page 3645-3650. IEEE, (2018)Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation., , , , , and . CoRR, (2024)Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing., , , , and . CoRR, (2020)Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery., , and . ICCL, volume 13557 of Lecture Notes in Computer Science, page 198-213. Springer, (2022)An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios., , , and . ITSC, page 5548-5554. IEEE, (2023)Investigating Schedule Deviation in Construction Projects through Root Cause Analysis., , and . CENTERIS/ProjMAN/HCist, volume 121 of Procedia Computer Science, page 732-739. Elsevier, (2017)Understanding common human driving semantics for autonomous vehicles., , , , , , , , , and 5 other author(s). Patterns, 4 (7): 100730 (July 2023)Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning., , , , and . ITSC, page 2628-2633. IEEE, (2022)