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Jing Hou
Publications
- 2024
- [j27]Jiayi Guan, Shangding Gu, Zhijun Li, Jing Hou, Yiqin Yang, Guang Chen, Changjun Jiang:
UAC: Offline Reinforcement Learning With Uncertain Action Constraint. IEEE Trans. Cogn. Dev. Syst. 16(2): 671-680 (2024) - [j26]Jing Hou, Guang Chen, Zhijun Li, Wei He, Shangding Gu, Alois Knoll, Changjun Jiang:
Hybrid Residual Multiexpert Reinforcement Learning for Spatial Scheduling of High-Density Parking Lots. IEEE Trans. Cybern. 54(5): 2771-2783 (2024) - 2023
- [j24]Jiayi Guan, Guang Chen, Jin Huang, Zhijun Li, Lu Xiong, Jing Hou, Alois C. Knoll:
A Discrete Soft Actor-Critic Decision-Making Strategy With Sample Filter for Freeway Autonomous Driving. IEEE Trans. Veh. Technol. 72(2): 2593-2598 (2023) - [i2]Jing Hou, Guang Chen, Ruiqi Zhang, Zhijun Li, Shangding Gu, Changjun Jiang:
Spreeze: High-Throughput Parallel Reinforcement Learning Framework. CoRR abs/2312.06126 (2023) - 2022
- [j21]Ruiqi Zhang, Jing Hou, Guang Chen, Zhijun Li, Jianxiao Chen, Alois C. Knoll:
Residual Policy Learning Facilitates Efficient Model-Free Autonomous Racing. IEEE Robotics Autom. Lett. 7(4): 11625-11632 (2022) - [j19]Shangding Gu, Guang Chen, Lijun Zhang, Jing Hou, Yingbai Hu, Alois C. Knoll:
Constrained Reinforcement Learning for Vehicle Motion Planning with Topological Reachability Analysis. Robotics 11(4): 81 (2022) - [c22]Ruiqi Zhang, Guang Chen, Jing Hou, Zhijun Li, Alois C. Knoll:
PIPO: Policy Optimization with Permutation-Invariant Constraint for Distributed Multi-Robot Navigation. MFI 2022: 1-7 - 2020
- [c18]Ya Wu, Jing Hou, Guang Chen, Alois C. Knoll:
Trajectory Prediction Based on Planning Method Considering Collision Risk. ICARM 2020: 466-470 - [c17]Junwei Yu, Jing Hou, Guang Chen:
Improved Safety-First A-Star Algorithm for Autonomous Vehicles. ICARM 2020: 706-710
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