Yu-Heng Hung

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Maximum Likelihood

Multi Armed Bandit

Reinforcement Learning

Top Venues

Publications

Yu-Heng Hung, Ping-Chun Hsieh
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective. AAAI (2023)
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
Social Robots for Older Adults in Medical Contexts. HCI (3) (2023)
Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete, P. R. Kumar
Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs. CoRR (2023)
Yu-Heng Hung, Ping-Chun Hsieh
Neural Contextual Bandits via Reward-Biased Maximum Likelihood Estimation. CoRR (2022)
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. AAAI (2021)
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. CoRR (2020)
Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. ICML (2020)