Pavel Kolev

According to our database, Pavel Kolev authored at least 27 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

GASP: Guided Asymmetric Self-Play For Coding LLMs.

Swadesh Jana, Cansu Sancaktar, Tomás Danis, Georg Martius, Antonio Orvieto, Pavel Kolev

CoRR, March, 2026

Stochastic Decision Horizons for Constrained Reinforcement Learning.

Nikola Milosevic, Leonard Franz, Daniel Häufle, Georg Martius, Nico Scherf, Pavel Kolev

CoRR, February, 2026

2025

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints.

Pavel Kolev, Marin Vlastelica, Georg Martius

CoRR, January, 2025

SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models.

Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Offline Diversity Maximization under Imitation Constraints.

Marin Vlastelica, Jin Cheng, Georg Martius, Pavel Kolev

RLJ, 2024

Learning Diverse Skills for Local Navigation under Multi-constraint Optimality.

Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Diverse Offline Imitation via Fenchel Duality.

Marin Vlastelica, Pavel Kolev, Jin Cheng, Georg Martius

CoRR, 2023

On Imitation in Mean-field Games.

Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Learning under Adversarial Nonlinear Constraints.

Pavel Kolev, Georg Martius, Michael Muehlebach

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions.

Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware.

Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Physarum-inspired multi-commodity flow dynamics.

Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn, Giovanna Morigi, Golnoosh Shahkarami, Quentin Vermande

Theor. Comput. Sci., 2022

2021

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

2020

Convergence of the non-uniform Physarum dynamics.

Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn

Theor. Comput. Sci., 2020

Convergence of the non-uniform directed Physarum model.

Enrico Facca, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn

Theor. Comput. Sci., 2020

Physarum Multi-Commodity Flow Dynamics.

Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn, Giovanna Morigi, Golnoosh Shahkarami, Quentin Vermande

CoRR, 2020

Secretary and Online Matching Problems with Machine Learned Advice.

Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Two results on slime mold computations.

Ruben Becker, Vincenzo Bonifaci, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn

Theor. Comput. Sci., 2019

A PTAS for ℓp-Low Rank Approximation.

Frank Ban, Vijay Bhattiprolu, Karl Bringmann, Pavel Kolev, Euiwoong Lee, David P. Woodruff

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

2018

Algorithmic Results for Clustering and Refined Physarum Analysis.

Pavel Kolev

PhD thesis, 2018

A PTAS for 𝓁_p-Low Rank Approximation.

Frank Ban, Vijay Bhattiprolu, Karl Bringmann, Pavel Kolev, Euiwoong Lee, David P. Woodruff

CoRR, 2018

2017

Approximation Algorithms for ࡁ₀-Low Rank Approximation.

Karl Bringmann, Pavel Kolev, David P. Woodruff

CoRR, 2017

Approximation Algorithms for l₀-Low Rank Approximation.

Karl Bringmann, Pavel Kolev, David P. Woodruff

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Density Independent Algorithms for Sparsifying k-Step Random Walks.

Gorav Jindal, Pavel Kolev, Richard Peng, Saurabh Sawlani

Proceedings of the Approximation, 2017

2016

A Note On Spectral Clustering.

Pavel Kolev, Kurt Mehlhorn

Proceedings of the 24th Annual European Symposium on Algorithms, 2016

2015

Faster Spectral Sparsification of Laplacian and SDDM Matrix Polynomials.

Gorav Jindal, Pavel Kolev

CoRR, 2015

2014

Dirichlet Eigenvalues, Local Random Walks, and Analyzing Clusters in Graphs.

Pavel Kolev, He Sun

Proceedings of the Algorithms and Computation - 25th International Symposium, 2014