67 citations · 106 across the 3 of their papers we have counts for
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cs.LG2021★ 5 cited
Convergent and Efficient Deep Q Network Algorithm
Zhikang T. Wang, Masahito Ueda
Despite the empirical success of the deep Q network (DQN) reinforcement learning algorithm and its variants, DQN is still not well understood and it does not guarantee convergence.…
cs.LG2019★ 34 cited
Deep Gamblers: Learning to Abstain with Portfolio Theory
Liu Ziyin, Zhikang Wang, Paul Pu Liang +3
We deal with the \textit{selective classification} problem (supervised-learning problem with a rejection option), where we want to achieve the best performance at a certain level o…