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Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning.

, , , , , , и . IEEE Trans. Intell. Transp. Syst., 24 (9): 9966-9983 (сентября 2023)

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Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning., , , , и . L4DC, том 168 из Proceedings of Machine Learning Research, стр. 97-109. PMLR, (2022)Learn collision-free self-driving skills at urban intersections with model-based reinforcement learning., , , , , , и . ITSC, стр. 3462-3469. IEEE, (2021)Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization., , , , и . ICRA, стр. 545-551. IEEE, (2024)Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization., , , , и . IROS, стр. 10028-10035. (2023)Feasibility Enhancement of Constrained Receding Horizon Control Using Generalized Control Barrier Function., , , , , и . ICPS, стр. 551-557. IEEE, (2021)Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization., , , , и . CoRR, (2022)Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function., , , , , , и . IROS, стр. 4552-4559. IEEE, (2021)Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety., , , , , и . CoRR, (2021)Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint., , , и . CoRR, (2024)Reachability Constrained Reinforcement Learning., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 25636-25655. PMLR, (2022)