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D Ellis Hershkowitz
D Ellis Hershkowitz
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Near optimal behavior via approximate state abstraction
D Abel, D Hershkowitz, M Littman
International Conference on Machine Learning, 2915-2923, 2016
1032016
Goal-based action priors
D Abel, D Hershkowitz, G Barth-Maron, S Brawner, K O'Farrell, ...
Proceedings of the International Conference on Automated Planning and …, 2015
442015
Round-and message-optimal distributed graph algorithms
B Haeupler, DE Hershkowitz, D Wajc
Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing …, 2018
37*2018
Broadcasting in Noisy Radio Networks
K Censor-Hillel, B Haeupler, DE Hershkowitz, G Zuzic
arXiv preprint arXiv:1705.07369, 2017
122017
Finding options that minimize planning time
Y Jinnai, D Abel, D Hershkowitz, M Littman, G Konidaris
International Conference on Machine Learning, 3120-3129, 2019
102019
Erasure correction for noisy radio networks
K Censor-Hillel, B Haeupler, DE Hershkowitz, G Zuzic
arXiv preprint arXiv:1805.04165, 2018
92018
District-fair participatory budgeting
DE Hershkowitz, A Kahng, D Peters, AD Procaccia
arXiv preprint arXiv:2102.06115, 2021
52021
Tree embeddings for hop-constrained network design
B Haeupler, DE Hershkowitz, G Zuzic
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
42021
Learning propositional functions for planning and reinforcement learning
DE Hershkowitz, J MacGlashan, S Tellex
2015 AAAI Fall Symposium Series, 2015
42015
Near-optimal schedules for simultaneous multicasts
B Haeupler, DE Hershkowitz, D Wajc
arXiv preprint arXiv:2001.00072, 2019
32019
Deterministic Tree Embeddings with Copies for Algorithms Against Adaptive Adversaries
B Haeupler, DE Hershkowitz, G Zuzic
arXiv preprint arXiv:2102.05168, 2021
12021
Reverse greedy is bad for k-center
DE Hershkowitz, G Kehne
Information Processing Letters 158, 105941, 2020
12020
Prepare for the expected worst: Algorithms for reconfigurable resources under uncertainty
DE Hershkowitz, R Ravi, S Singla
arXiv preprint arXiv:1811.11635, 2018
12018
Fast Algorithms for Hop-Constrained Flows and Moving Cuts
B Haeupler, DE Hershkowitz, T Saranurak
arXiv preprint arXiv:2111.01422, 2021
2021
Bad-Policy Density: A Measure of Reinforcement Learning Hardness
D Abel, C Allen, D Arumugam, DE Hershkowitz, ML Littman, LLS Wong
arXiv preprint arXiv:2110.03424, 2021
2021
Steiner Point Removal in Series-Parallel Graphs
DE Hershkowitz, J Li
arXiv preprint arXiv:2104.00750, 2021
2021
An optimal rounding for half-integral weighted minimum strongly connected spanning subgraph
DE Hershkowitz, G Kehne, R Ravi
Information Processing Letters 167, 106067, 2021
2021
Computation-Aware Data Aggregation
B Haeupler, DE Hershkowitz, A Kahng, AD Procaccia
arXiv preprint arXiv:1806.05701, 2018
2018
Leveraging and Learning Propositional Functions for Large State Spaces in Planning and Reinforcement Learning
DE Hershkowitz
2015
SKILL DISCOVERY WITH WELL-DEFINED OBJECTIVES
Y Jinnai, D Abel, JW Park, DE Hershkowitz, ML Littman, G Konidaris
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