18 citations · 54 across the 14 of their papers we have counts for
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cs.LG2023
Model-based Offline Reinforcement Learning with Count-based Conservatism
Byeongchan Kim, Min-hwan Oh
In this paper, we propose a model-based offline reinforcement learning method that integrates count-based conservatism, named . Our method utilizes the count e…
stat.ML2023
Combinatorial Neural Bandits
Taehyun Hwang, Kyuwook Chai, Min-hwan Oh
We consider a contextual combinatorial bandit problem where in each round a learning agent selects a subset of arms and receives feedback on the selected arms according to their sc…