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MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning.

, , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (3): 3461-3475 (марта 2023)

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Changgeng Peng

Xiao-Wei Peng

Martin Peng

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Guo Peng

 

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Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization., , , , и . NeurIPS, стр. 10784-10797. (2021)Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining., , и . ECCV (26), том 13686 из Lecture Notes in Computer Science, стр. 111-128. Springer, (2022)Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control., , , и . IJCNN, стр. 1-8. IEEE, (2022)SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting., , , , , , , , и . CoRR, (2024)Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization., , и . ICLR, OpenReview.net, (2022)SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition., , , , , , , , и . CVPR, стр. 4583-4593. IEEE, (2022)Human-AI Shared Control via Frequency-based Policy Dissection., , , , и . CoRR, (2022)ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling., , , , , , и . CoRR, (2023)CAT: Closed-loop Adversarial Training for Safe End-to-End Driving., , , и . CoRL, том 229 из Proceedings of Machine Learning Research, стр. 2357-2372. PMLR, (2023)Safe Driving via Expert Guided Policy Optimization., , , и . CoRL, том 164 из Proceedings of Machine Learning Research, стр. 1554-1563. PMLR, (2021)