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Haichuan Gao
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2020 – today
- 2024
- [c5]Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen:
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers. ICLR 2024 - 2023
- [j3]Yuqing Guo, Danya Yao, Bai Li, Haichuan Gao, Li Li:
Down-Sized Initialization for Optimization-Based Unstructured Trajectory Planning by Only Optimizing Critical Variables. IEEE Trans. Intell. Veh. 8(1): 709-720 (2023) - [j2]Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen:
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10359-10373 (2023) - [c4]Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen:
Fast Counterfactual Inference for History-Based Reinforcement Learning. AAAI 2023: 7613-7623 - 2022
- [j1]Yuqing Guo, Danya Yao, Bai Li, Zimin He, Haichuan Gao, Li Li:
Trajectory Planning for an Autonomous Vehicle in Spatially Constrained Environments. IEEE Trans. Intell. Transp. Syst. 23(10): 18326-18336 (2022) - [c3]Chongkai Gao, Zekun Li, Haichuan Gao, Feng Chen:
Iterative Interactive Modeling for Knotting Plastic Bags. CoRL 2022: 571-582 - [i2]Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen:
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. CoRR abs/2202.00466 (2022) - 2021
- [c2]Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen:
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. IROS 2021: 6747-5754 - [i1]Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen:
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. CoRR abs/2106.09422 (2021) - 2020
- [c1]Haichuan Gao, Zhile Yang, Xin Su, Tian Tan, Feng Chen:
Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning. IROS 2020: 4403-4410
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