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cs.LG2021
Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget
Baihan Lin, Djallel Bouneffouf
In light of the COVID-19 pandemic, it is an open challenge and critical practical problem to find a optimal way to dynamically prescribe the best policies that balance both the gov…
cs.LG2021
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
Jonathan P. Epperlein, Roman Overko, Sergiy Zhuk +4
Reinforcement learning (RL) algorithms aim to learn optimal decisions in unknown environments through experience of taking actions and observing the rewards gained. In some cases,…