Yu-Heng Hung

According to our database, Yu-Heng Hung authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

2023

Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs.

Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete, P. R. Kumar

CoRR, 2023

Social Robots for Older Adults in Medical Contexts.

Wen-I Lu, Yu-Wei Chen, Chin-Chen Shen, Ping-Hsuan Tsai, Yun-Tung Chu, Yu-Heng Hung, Shih-Yi Chien, Joyce Lee, Shiau-Fang Chao

Proceedings of the Human-Computer Interaction, 2023

Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective.

Yu-Heng Hung, Ping-Chun Hsieh

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Neural Contextual Bandits via Reward-Biased Maximum Likelihood Estimation.

Yu-Heng Hung, Ping-Chun Hsieh

CoRR, 2022

2021

Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits.

Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits.

Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar

Proceedings of the 37th International Conference on Machine Learning, 2020