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Hoang-Giang Cao
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Conference and Workshop Papers
- 2023
- [c3]Hoang-Giang Cao, Weihao Zeng, I-Chen Wu:
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation. ICRA 2023: 9501-9507 - [c2]Hoang-Giang Cao, I Lee, Bo-Jiun Hsu, Zheng-Yi Lee, Yu-Wei Shih, Hsueh-Cheng Wang, I-Chen Wu:
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning. IROS 2023: 5179-5186 - 2022
- [c1]Hoang-Giang Cao
, Weihao Zeng, I-Chen Wu:
Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors. ICRA 2022: 6358-6364
Informal and Other Publications
- 2024
- [i7]Nhat-Minh Huynh, Hoang-Giang Cao, I-Chen Wu:
Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach. CoRR abs/2407.00662 (2024) - [i6]I Lee, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu:
Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning. CoRR abs/2407.04315 (2024) - 2023
- [i5]Hoang-Giang Cao, Weihao Zeng, I-Chen Wu:
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation. CoRR abs/2304.08703 (2023) - [i4]Hoang-Giang Cao, Weihao Zeng, I-Chen Wu:
Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors. CoRR abs/2304.10108 (2023) - [i3]Hoang-Giang Cao, I Lee, Bo-Jiun Hsu, Zheng-Yi Lee, Yu-Wei Shih, Hsueh-Cheng Wang, I-Chen Wu:
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning. CoRR abs/2307.08230 (2023) - [i2]Khoa Dang Nguyen, Thanh Hai Phung, Hoang-Giang Cao:
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition. CoRR abs/2309.13578 (2023) - 2022
- [i1]Bo-Jiun Hsu, Hoang-Giang Cao, I Lee, Chih-Yu Kao, Jin-Bo Huang, I-Chen Wu:
Image-Based Conditioning for Action Policy Smoothness in Autonomous Miniature Car Racing with Reinforcement Learning. CoRR abs/2205.09658 (2022)
Coauthor Index
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