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Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data.

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DSAC-T: Distributional Soft Actor-Critic with Three Refinements., , , , and . CoRR, (2023)Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty., , , , , , and . ITSC, page 586-592. IEEE, (2021)LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control., , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 32253-32272. PMLR, (2023)RL-Driven MPPI: Accelerating Online Control Laws Calculation With Offline Policy., , , , , , , and . IEEE Trans. Intell. Veh., 9 (2): 3605-3616 (February 2024)Recurrent Model Predictive Control., , , , , , , and . CoRR, (2021)Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback., , , , , and . IEEE Trans. Cybern., 54 (6): 3588-3601 (June 2024)Direct and indirect reinforcement learning., , , , , , and . Int. J. Intell. Syst., 36 (8): 4439-4467 (2021)On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control., , , and . IEEE Trans. Autom. Control., 69 (2): 920-935 (February 2024)Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving., , , , , , and . CoRR, (2021)Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization*., , , , and . ITSC, page 1-7. IEEE, (2020)