| Near optimal behavior via approximate state abstraction D Abel, D Hershkowitz, M Littman International Conference on Machine Learning, 2915-2923, 2016 | 235 | 2016 |
| 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 | 61 | 2015 |
| Finding options that minimize planning time Y Jinnai, D Abel, D Hershkowitz, M Littman, G Konidaris International Conference on Machine Learning, 3120-3129, 2019 | 55 | 2019 |
| 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 | 53 | 2018 |
| District-fair participatory budgeting DE Hershkowitz, A Kahng, D Peters, AD Procaccia Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5464-5471, 2021 | 32 | 2021 |
| 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 | 25 | 2021 |
| Low-step multi-commodity flow emulators B Haeupler, DE Hershkowitz, J Li, A Roeyskoe, T Saranurak Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 71-82, 2024 | 19 | 2024 |
| Broadcasting in Noisy Radio Networks K Censor-Hillel, B Haeupler, DE Hershkowitz, G Zuzic arXiv preprint arXiv:1705.07369, 2017 | 18 | 2017 |
| Maximum length-constrained flows and disjoint paths: Distributed, deterministic, and fast B Haeupler, DE Hershkowitz, T Saranurak Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 1371-1383, 2023 | 17* | 2023 |
| Erasure correction for noisy radio networks K Censor-Hillel, B Haeupler, DE Hershkowitz, G Zuzic arXiv preprint arXiv:1805.04165, 2018 | 15 | 2018 |
| New structures and algorithms for length-constrained expander decompositions B Haeupler, DE Hershkowitz, Z Tan 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS …, 2024 | 11 | 2024 |
| One tree to rule them all: Poly-logarithmic universal steiner tree C Busch, A Filtser, D Hathcock, DE Hershkowitz, R Rajaraman 2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS), 60-76, 2023 | 10 | 2023 |
| Steiner Point Removal in Series-Parallel Graphs DE Hershkowitz, J Li arXiv preprint arXiv:2104.00750, 2021 | 10 | 2021 |
| Parallel greedy spanners B Haeupler, DE Hershkowitz, Z Tan arXiv preprint arXiv:2304.08892, 2023 | 8 | 2023 |
| Learning Propositional Functions for Planning and Reinforcement Learning. DE Hershkowitz, J MacGlashan, S Tellex AAAI Fall Symposia, 38-45, 2015 | 8 | 2015 |
| Efficient centroid-linkage clustering MH Bateni, L Dhulipala, W Fletcher, KN Gowda, DE Hershkowitz, ... Advances in Neural Information Processing Systems 37, 49649-49683, 2024 | 6 | 2024 |
| Near-optimal schedules for simultaneous multicasts B Haeupler, DE Hershkowitz, D Wajc arXiv preprint arXiv:2001.00072, 2019 | 6 | 2019 |
| Ghost value augmentation for k-edge-connectivity DE Hershkowitz, N Klein, R Zenklusen Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1853-1864, 2024 | 5 | 2024 |
| Adaptive-Adversary-Robust Algorithms via Small Copy Tree Embeddings B Haepler, DE Hershkowitz, G Zuzic 30th Annual European Symposium on Algorithms (ESA 2022) 244, 63, 2022 | 5* | 2022 |
| 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 | 5 | 2021 |
Bernhard HaeuplerINSAIT (University of Sofia, Bulgaria) & ETH ZurichVerified email at insait.ai
