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2020 – today
- 2024
[c3]Hongzhan Yu, Sicun Gao:
Activation-Descent Regularization for Input Optimization of ReLU Networks. ICML 2024- [i4]Hongzhan Yu, Sicun Gao:
Activation-Descent Regularization for Input Optimization of ReLU Networks. CoRR abs/2406.00494 (2024) - [i3]Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR abs/2406.19741 (2024) - 2023
- [c2]Hongzhan Yu, Chiaki Hirayama, Chenning Yu, Sylvia L. Herbert, Sicun Gao:
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance. IROS 2023: 11241-11248 - [i2]Hongzhan Yu, Chiaki Hirayama, Chenning Yu, Sylvia L. Herbert, Sicun Gao:
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance. CoRR abs/2307.03015 (2023) - 2022
- [c1]Chenning Yu, Hongzhan Yu, Sicun Gao:
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation. CoRL 2022: 934-945 - [i1]Chenning Yu, Hongzhan Yu, Sicun Gao:
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation. CoRR abs/2210.09378 (2022)
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