3 papers
cs.LG2026
Task Specialization Fine-Tuning for Contextual Reinforcement Learning
Jianan Zhou, Jung-Hoon Cho, Tianyue Zhou +5
Contextual Reinforcement Learning (CRL) seeks to generalize classical RL by maximizing task coverage across a context space of related tasks. While prior works often train from scr…
cs.LG2026
Structure Detection for Contextual Reinforcement Learning
Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
Contextual Reinforcement Learning (CRL) tackles the problem of solving a set of related Contextual Markov Decision Processes (CMDPs) that vary across different context variables. T…
cs.LG2025
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
Recommendation systems now pervade the digital world, ranging from advertising to entertainment. However, it remains challenging to implement effective recommendation systems in th…