no code implementations • 10 Jan 2024 • Haotian Gu, Xin Guo, Timothy L. Jacobs, Philip Kaminsky, Xinyu Li
Freight transportation marketplace rates are typically challenging to forecast accurately.
no code implementations • 29 Sep 2021 • David C Jenkins, René Arendt Sørensen, Vikramank Singh, Philip Kaminsky, Anil Aswani, Ramakrishna Akella
This paper proposes a novel method based on Deep Reinforcement Learning for developing dynamic scheduling policies through interaction with simulated stochastic manufacturing systems.
no code implementations • 26 Jul 2017 • Yonatan Mintz, Anil Aswani, Philip Kaminsky, Elena Flowers, Yoshimi Fukuoka
Many settings involve sequential decision-making where a set of actions can be chosen at each time step, each action provides a stochastic reward, and the distribution for the reward of each action is initially unknown.