Hoang-Giang Cao

11 papers A* 2A 2Journal 7
YearRankTypeTitle / Venue / Authors
2024 A conf
Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning.
IROS
I Lee, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu
2024 J jnl
Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning.
CoRR
I Lee, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu
2024 J jnl
Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach.
CoRR
Nhat-Minh Huynh, Hoang-Giang Cao, I-Chen Wu
2023 J jnl
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition.
CoRR
Khoa Dang Nguyen, Thanh Hai Phung, Hoang-Giang Cao
2023 A conf
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning.
IROS
Hoang-Giang Cao, I Lee, Bo-Jiun Hsu, Zheng-Yi Lee, Yu-Wei Shih, Hsueh-Cheng Wang, I-Chen Wu
2023 J jnl
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning.
CoRR
Hoang-Giang Cao, I Lee, Bo-Jiun Hsu, Zheng-Yi Lee, Yu-Wei Shih, Hsueh-Cheng Wang, I-Chen Wu
2023 A* conf
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation.
ICRA
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu
2023 J jnl
Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation.
CoRR
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu
2023 J jnl
Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors.
CoRR
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu
2022 J jnl
Image-Based Conditioning for Action Policy Smoothness in Autonomous Miniature Car Racing with Reinforcement Learning.
CoRR
Bo-Jiun Hsu, Hoang-Giang Cao, I Lee, Chih-Yu Kao, Jin-Bo Huang, I-Chen Wu
2022 A* conf
Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors.
ICRA
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu