Hoang-Giang Cao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Reinforcement Learning

Partially Occluded Objects

Cluttered Images

Object Description

Top Venues

Publications

Nhat-Minh Huynh, Hoang-Giang Cao, I-Chen Wu
Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach. CoRR (2024)
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 (2024)
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation. ICRA (2023)
Khoa Dang Nguyen, Thanh Hai Phung, Hoang-Giang Cao
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition. CoRR (2023)
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu
Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors. CoRR (2023)
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)
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 (2023)
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation. CoRR (2023)
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 (2022)
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu
Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors. ICRA (2022)