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20202026
most citedAdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection

1 citations · 2 across the 6 of their papers we have counts for

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cs.AI2021★ 1 cited

AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection

Marina Haliem, Vaneet Aggarwal, Bharat Bhargava

This paper introduces an adaptive model-free deep reinforcement approach that can recognize and adapt to the diurnal patterns in the ride-sharing environment with car-pooling. Deep…

cs.LG2021

Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach

Trevor Bonjour, Marina Haliem, Aala Alsalem +5

Learning to adapt and make real-time informed decisions in a dynamic and complex environment is a challenging problem. Monopoly is a popular strategic board game that requires play…