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Seungki Min — most-cited papers & profile · Reinforcement Learning
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Seungki Min
4
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Most-cited papers
Thompson Sampling with Information Relaxation Penalties
2019
Policy Gradient Optimization of Thompson Sampling Policies
2020
An Information-Theoretic Analysis of Nonstationary Bandit Learning
2023
Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits
2024
Top co-authors
Ciamac C. Moallemi
· 2
Costis Maglaras
· 1
Daniel J. Russo
· 1
Daniel Russo
· 1
Woojin Jeong
· 1
Topics
Exploration
cs.LG
Value-Based
Multi-Agent
Policy Gradient
cs.IT
math.IT
cs.AI