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Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints.

, , , and . IJCNN, page 1-6. IEEE, (2019)

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BiFNet: Bidirectional Fusion Network for Road Segmentation., , , and . IEEE Trans. Cybern., 52 (9): 8617-8628 (2022)RailNet: An Information Aggregation Network for Rail Track Segmentation., , , and . IJCNN, page 1-7. IEEE, (2020)NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning., , , , , and . CoRR, (2023)ATV3D: 3D Object Detection from Attention-based Three-view Representation., , , , , and . IJCNN, page 1-8. IEEE, (2024)Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning., , , and . SSCI, page 1478-1484. IEEE, (2020)A computational experiment method in ACP framework for complex urban traffic networks., , , , and . ITSC, page 2894-2899. IEEE, (2014)Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints., , , and . IJCNN, page 1-6. IEEE, (2019)MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation., , , and . Neurocomputing, (2021)A spatial-temporal attention model for human trajectory prediction., , , and . IEEE CAA J. Autom. Sinica, 7 (4): 965-974 (2020)PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning., , , , , , , , , and 1 other author(s). CoRR, (2024)