Round- and Message-Optimal Distributed Graph Algorithms.
Bernhard Haeupler, D Ellis Hershkowitz, David Wajc.
Broadcasting in Noisy Radio Networks.
Keren Censor-Hillel, Bernhard Haeupler, D Ellis Hershkowitz, Goran Zuzic.
Near Optimal Behavior via Approximate State Abstraction.
David Abel, D Ellis Hershkowitz, Michael L. Littman.
Goal-Based Action Priors.
David Abel, D Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O'Farrell, James MacGlashan, Stefanie Tellex.
I-Learning on Bandits.
D Ellis Hershkowitz. Advised by Prof. Michael Littman.
Master's Project, Brown University, 2016.
Learning Propositional Functions for Planning and Reinforcement Learning.
D Ellis Hershkowitz, James MacGlashan, Stefanie Tellex.
AAAI 2015 Fall Symposium on Sequential Decision Making.
Leveraging and Learning Propositional Functions for Large State Spaces in Planning and Reinforcement Learning.
D Ellis Hershkowitz. Advised by Prof. Stefanie Tellex. Second reader Michael Littman.
Undergraduate Honors Thesis, Brown University, 2015 .