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cs.LG2021
Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics
Kishor Jothimurugan, Matthew Andrews, Jeongran Lee +1
We study regenerative stopping problems in which the system starts anew whenever the controller decides to stop and the long-term average cost is to be minimized. Traditional model…
cs.LG2020
Evolution of Q Values for Deep Q Learning in Stable Baselines
Matthew Andrews, Cemil Dibek, Karina Palyutina
We investigate the evolution of the Q values for the implementation of Deep Q Learning (DQL) in the Stable Baselines library. Stable Baselines incorporates the latest Reinforcement…