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TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios.

, , , , and . ICRA, page 3567-3575. IEEE, (2023)

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Reinforcement-Learning- and Belief-Learning-Based Double Auction Mechanism for Edge Computing Resource Allocation., , , , and . IEEE Internet Things J., 7 (7): 5976-5985 (2020)Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization., , and . ICLR, OpenReview.net, (2022)Improving the Generalization of End-to-End Driving through Procedural Generation., , , , , and . CoRR, (2020)MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (3): 3461-3475 (March 2023)TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios., , , , and . ICRA, page 3567-3575. IEEE, (2023)Human-AI Shared Control via Policy Dissection., , , , and . NeurIPS, (2022)MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning., , , , and . CoRR, (2021)TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios., , , , and . CoRR, (2022)A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation., , , and . CoRR, (2024)Guarded Policy Optimization with Imperfect Online Demonstrations., , , , and . ICLR, OpenReview.net, (2023)