Hoang-Giang Cao

According to our database, Hoang-Giang Cao authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning.

I Lee, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu

CoRR, 2024

Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach.

Nhat-Minh Huynh, Hoang-Giang Cao, I-Chen Wu

CoRR, 2024

2023

A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition.

Khoa Dang Nguyen, Thanh Hai Phung, Hoang-Giang Cao

CoRR, 2023

Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning.

Hoang-Giang Cao, I Lee, Bo-Jiun Hsu, Zheng-Yi Lee, Yu-Wei Shih, Hsueh-Cheng Wang, I-Chen Wu

IROS, 2023

Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation.

Hoang-Giang Cao, Weihao Zeng, I-Chen Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Image-Based Conditioning for Action Policy Smoothness in Autonomous Miniature Car Racing with Reinforcement Learning.

Bo-Jiun Hsu, Hoang-Giang Cao, I Lee, Chih-Yu Kao, Jin-Bo Huang, I-Chen Wu

CoRR, 2022

Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors.

Hoang-Giang Cao, Weihao Zeng, I-Chen Wu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022