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2020 – today
- 2024
[c12]Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius:
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality. ICRA 2024: 5083-5089- 2023
- [j5]Antonios Antoniadis
, Themis Gouleakis, Pieter Kleer, Pavel Kolev:
Secretary and online matching problems with machine learned advice. Discret. Optim. 48(Part 2): 100778 (2023) - [c11]Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius:
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. ICLR 2023 - [c10]Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius:
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. ICRA 2023: 2944-2950 - [c9]Pavel Kolev, Georg Martius, Michael Muehlebach:
Online Learning under Adversarial Nonlinear Constraints. NeurIPS 2023 - [c8]Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist:
On Imitation in Mean-field Games. NeurIPS 2023 - [i17]Pavel Kolev, Georg Martius, Michael Muehlebach:
Online Learning under Adversarial Nonlinear Constraints. CoRR abs/2306.03655 (2023) - [i16]Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist:
On Imitation in Mean-field Games. CoRR abs/2306.14799 (2023) - [i15]Marin Vlastelica, Pavel Kolev, Jin Cheng, Georg Martius:
Diverse Offline Imitation via Fenchel Duality. CoRR abs/2307.11373 (2023) - [i14]Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius:
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. CoRR abs/2307.15690 (2023) - [i13]Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius:
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. CoRR abs/2308.07741 (2023) - [i12]Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius:
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality. CoRR abs/2310.02440 (2023) - 2022
- [j4]Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn, Giovanna Morigi, Golnoosh Shahkarami, Quentin Vermande:
Physarum-inspired multi-commodity flow dynamics. Theor. Comput. Sci. 920: 1-20 (2022) - [i11]Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius:
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. CoRR abs/2209.07899 (2022) - 2021
- [c7]Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius:
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. NeurIPS (Competition and Demos) 2021: 133-150 - 2020
- [j3]Enrico Facca, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn:
Convergence of the non-uniform directed Physarum model. Theor. Comput. Sci. 816: 184-194 (2020) - [j2]Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn:
Convergence of the non-uniform Physarum dynamics. Theor. Comput. Sci. 816: 260-269 (2020) - [c6]Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev:
Secretary and Online Matching Problems with Machine Learned Advice. NeurIPS 2020 - [i10]Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev:
Secretary and Online Matching Problems with Machine Learned Advice. CoRR abs/2006.01026 (2020) - [i9]Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn, Giovanna Morigi, Golnoosh Shahkarami, Quentin Vermande:
Physarum Multi-Commodity Flow Dynamics. CoRR abs/2009.01498 (2020)
2010 – 2019
- 2019
- [j1]Ruben Becker, Vincenzo Bonifaci, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn:
Two results on slime mold computations. Theor. Comput. Sci. 773: 79-106 (2019) - [c5]Frank Ban, Vijay Bhattiprolu, Karl Bringmann, Pavel Kolev, Euiwoong Lee, David P. Woodruff:
A PTAS for ℓp-Low Rank Approximation. SODA 2019: 747-766 - [i8]Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn:
Convergence of the Non-Uniform Physarum Dynamics. CoRR abs/1901.07231 (2019) - [i7]Enrico Facca, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn:
Convergence of the Non-Uniform Directed Physarum Model. CoRR abs/1906.07781 (2019) - 2018
- [b1]Pavel Kolev:
Algorithmic Results for Clustering and Refined Physarum Analysis. Saarland University, Germany, 2018 - [i6]Frank Ban, Vijay Bhattiprolu, Karl Bringmann, Pavel Kolev, Euiwoong Lee, David P. Woodruff:
A PTAS for 𝓁p-Low Rank Approximation. CoRR abs/1807.06101 (2018) - 2017
- [c4]Gorav Jindal, Pavel Kolev, Richard Peng, Saurabh Sawlani:
Density Independent Algorithms for Sparsifying k-Step Random Walks. APPROX-RANDOM 2017: 14:1-14:17 - [c3]Karl Bringmann, Pavel Kolev, David P. Woodruff:
Approximation Algorithms for l0-Low Rank Approximation. NIPS 2017: 6648-6659 - [i5]Gorav Jindal, Pavel Kolev, Richard Peng, Saurabh Sawlani:
Density Independent Algorithms for Sparsifying k-Step Random Walks. CoRR abs/1702.06110 (2017) - [i4]Ruben Becker, Vincenzo Bonifaci, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn:
Two Results on Slime Mold Computations. CoRR abs/1707.06631 (2017) - [i3]Karl Bringmann, Pavel Kolev, David P. Woodruff:
Approximation Algorithms for ࡁ0-Low Rank Approximation. CoRR abs/1710.11253 (2017) - 2016
- [c2]Pavel Kolev, Kurt Mehlhorn:
A Note On Spectral Clustering. ESA 2016: 57:1-57:14 - 2015
- [i2]Gorav Jindal, Pavel Kolev:
Faster Spectral Sparsification of Laplacian and SDDM Matrix Polynomials. CoRR abs/1507.07497 (2015) - [i1]Pavel Kolev, Kurt Mehlhorn:
A Note On Spectral Clustering. CoRR abs/1509.09188 (2015) - 2014
- [c1]Pavel Kolev, He Sun:
Dirichlet Eigenvalues, Local Random Walks, and Analyzing Clusters in Graphs. ISAAC 2014: 621-632
Coauthor Index
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