Kuo-Hao Ho

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 9

Top Topics

Job Shop Scheduling

Global Optimality

Reinforcement Learning

Tabu Search Algorithm

Top Venues

Publications

Kuo-Hao Ho, Jui-Yu Cheng, Ji-Han Wu, Fan Chiang, Yen-Chi Chen, Yuan-Yu Wu, I-Chen Wu
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem. IEEE Access 12 (2024)
Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping. AAAI (2024)
Kuo-Hao Ho, Ruei-Yu Jheng, Ji-Han Wu, Fan Chiang, Yen-Chi Chen, Yuan-Yu Wu, I-Chen Wu
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem. CoRR (2023)
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games. ACML (2023)
Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping. CoRR (2023)
Kuo-Hao Ho, Ji-Han Wu, Fan Chiang, Yuan-Yu Wu, Sheng-I Chen, Ted Kuo, Feng-Jian Wang, I-Chen Wu
Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling. ICCE-Taiwan (2023)
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games. CoRR (2023)
Hsuan-Yu Yao, Ping-Chun Hsieh, Kuo-Hao Ho, Kai-Chun Hu, Liang-Chun Ouyang, I-Chen Wu
Hinge Policy Optimization: Rethinking Policy Improvement and Reinterpreting PPO. CoRR (2021)
Kuo-Hao Ho, Pei-Shu Huang, I-Chen Wu, Feng-Jian Wang
Prediction of Time Series Data Based on Transformer with Soft Dynamic Time Wrapping. ICCE-TW (2020)
Jung-Chun Kao, Kuo-Hao Ho
Efficient network coding at relay for relay-assisted network-coding ARQ protocols. APSIPA (2013)