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cs.LG2025
Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing
J. Jon Ryu, Jeongyeol Kwon, Benjamin Koppe +1
We consider off-policy selection and learning in contextual bandits, where the learner aims to select or train a reward-maximizing policy using data collected by a fixed behavior p…
cs.LG2024
An Empirical Study on the Power of Future Prediction in Partially Observable Environments
Jeongyeol Kwon, Liu Yang, Robert Nowak +1
Learning good representations of historical contexts is one of the core challenges of reinforcement learning (RL) in partially observable environments. While self-predictive auxili…