Pavel Kolev

41 papers A* 8A 1B 1Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
GASP: Guided Asymmetric Self-Play For Coding LLMs.
CoRR
Swadesh Jana, Cansu Sancaktar, Tomás Danis, Georg Martius, Antonio Orvieto, Pavel Kolev
2026 J jnl
Stochastic Decision Horizons for Constrained Reinforcement Learning.
CoRR
Nikola Milosevic, Leonard Franz, Daniel Häufle, Georg Martius, Nico Scherf, Pavel Kolev
2025 J jnl
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints.
CoRR
Pavel Kolev, Marin Vlastelica, Georg Martius
2025 A* conf
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models.
ICML
Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius
2025 J jnl
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models.
CoRR
Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius
2024 A* conf
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality.
ICRA
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
2024 J jnl
Offline Diversity Maximization under Imitation Constraints.
RLJ
Marin Vlastelica, Jin Cheng, Georg Martius, Pavel Kolev
2023 A* conf
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware.
ICLR
Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius
2023 J jnl
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware.
CoRR
Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wüthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius
2023 J jnl
Diverse Offline Imitation via Fenchel Duality.
CoRR
Marin Vlastelica, Pavel Kolev, Jin Cheng, Georg Martius
2023 J jnl
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality.
CoRR
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
2023 A* conf
On Imitation in Mean-field Games.
NeurIPS
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist
2023 J jnl
On Imitation in Mean-field Games.
CoRR
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist
2023 A* conf
Online Learning under Adversarial Nonlinear Constraints.
NeurIPS
Pavel Kolev, Georg Martius, Michael Muehlebach
2023 J jnl
Online Learning under Adversarial Nonlinear Constraints.
CoRR
Pavel Kolev, Georg Martius, Michael Muehlebach
2023 J jnl
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
CoRR
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
2023 J jnl
Secretary and online matching problems with machine learned advice.
Discret. Optim.
Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev
2023 A* conf
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions.
ICRA
Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius
2022 J jnl
Physarum-inspired multi-commodity flow dynamics.
Theor. Comput. Sci.
Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn, Giovanna Morigi, Golnoosh Shahkarami, Quentin Vermande
2022 J jnl
Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions.
CoRR
Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius
2021 — conf
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
NeurIPS (Competition and Demos)
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
2020 J jnl
Convergence of the non-uniform Physarum dynamics.
Theor. Comput. Sci.
Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn
2020 J jnl
Convergence of the non-uniform directed Physarum model.
Theor. Comput. Sci.
Enrico Facca, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn
2020 J jnl
Physarum Multi-Commodity Flow Dynamics.
CoRR
Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn, Giovanna Morigi, Golnoosh Shahkarami, Quentin Vermande
2020 A* conf
Secretary and Online Matching Problems with Machine Learned Advice.
NeurIPS
Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev
2020 J jnl
Secretary and Online Matching Problems with Machine Learned Advice.
CoRR
Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev
2019 A* conf
A PTAS for ℓp-Low Rank Approximation.
SODA
Frank Ban, Vijay Bhattiprolu, Karl Bringmann, Pavel Kolev, Euiwoong Lee, David P. Woodruff
2019 J jnl
Convergence of the Non-Uniform Directed Physarum Model.
CoRR
Enrico Facca, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn
2019 J jnl
Convergence of the Non-Uniform Physarum Dynamics.
CoRR
Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn
2019 J jnl
Two results on slime mold computations.
Theor. Comput. Sci.
Ruben Becker, Vincenzo Bonifaci, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn
2018 J jnl
A PTAS for 𝓁
CoRR
Frank Ban, Vijay Bhattiprolu, Karl Bringmann, Pavel Kolev, Euiwoong Lee, David P. Woodruff
2018 — —
Algorithmic Results for Clustering and Refined Physarum Analysis.
Pavel Kolev
2017 — conf
Approximation Algorithms for l
NIPS
Karl Bringmann, Pavel Kolev, David P. Woodruff
2017 J jnl
Approximation Algorithms for ࡁ
CoRR
Karl Bringmann, Pavel Kolev, David P. Woodruff
2017 — conf
Density Independent Algorithms for Sparsifying k-Step Random Walks.
APPROX-RANDOM
Gorav Jindal, Pavel Kolev, Richard Peng, Saurabh Sawlani
2017 J jnl
Density Independent Algorithms for Sparsifying k-Step Random Walks.
CoRR
Gorav Jindal, Pavel Kolev, Richard Peng, Saurabh Sawlani
2017 J jnl
Two Results on Slime Mold Computations.
CoRR
Ruben Becker, Vincenzo Bonifaci, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn
2016 A conf
A Note On Spectral Clustering.
ESA
Pavel Kolev, Kurt Mehlhorn
2015 J jnl
A Note On Spectral Clustering.
CoRR
Pavel Kolev, Kurt Mehlhorn
2015 J jnl
Faster Spectral Sparsification of Laplacian and SDDM Matrix Polynomials.
CoRR
Gorav Jindal, Pavel Kolev
2014 B conf
Dirichlet Eigenvalues, Local Random Walks, and Analyzing Clusters in Graphs.
ISAAC
Pavel Kolev, He Sun