////////// Elise van der Pol //////////
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Publication
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Expected Return Symmetries
D. Muglich, J. Forkel, E. van der Pol, J. Foerster
Paper - Feb 2025 - ICLR 2025 - pdf -
One-shot Imitation Learning via Interaction Warping
O. Biza, S. Thompson, K.R. Pagidi, A. Kumar, E. van der Pol, R. Walters, T. Kipf, J. van de Meent, L.L.S. Wong, R. Platt
Paper - Nov 2023 - CoRL 2023 - pdf -
Symmetry and Structure in Deep Reinforcement Learning
E. van der Pol
PhD Thesis - Jul 2023 - University of Amsterdam - pdf -
Equivariant Networks for Zero-Shot Coordination
D. Muglich, C. Schroeder de Witt, E. van der Pol, S. Whiteson, J. Foerster
Paper - Nov 2022 - NeurIPS 2022 - pdf -
Maximum Class Separation as Inductive Bias in One Matrix
T. Kasarla, G. J. Burghouts, M. van Spengler, E. van der Pol, R. Cucchiara, P. Mettes
Paper - Nov 2022 - NeurIPS 2022 - oral - pdf -
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering
E. van der Pol, I. Gemp, Y. Bachrach, R. Everett
Paper - Jul 2022 - ICML 2022 workshop on Topology, Algebra, and Geometry in Machine Learning - pdf -
Geometric and Physical Quantities improve E(3) Equivariant Message Passing
J. Brandstetter, R. Hesselink, E. van der Pol, E.J. Bekkers, M. Welling
Paper - Apr 2022 - ICLR 2022 - spotlight - pdf -
Multi-Agent MDP Homomorphic Networks
E. van der Pol, H. van Hoof, F.A. Oliehoek, M. Welling
Paper - Apr 2022 - ICLR 2022 - pdf -
The Impact of Negative Sampling on Contrastive Structured World Models
O. Biza, E. van der Pol, T. Kipf
Paper - Jul 2021 - ICML 2021 workshop on Self-Supervised Learning for Reasoning and Perception - pdf -
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
E. van der Pol, D.E. Worrall, H. van Hoof, F.A. Oliehoek, M. Welling
Paper - Dec 2020 - NeurIPS 2020 - pdf -
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
E. van der Pol, T. Kipf, F.A. Oliehoek, M. Welling
Paper - May 2020 - AAMAS 2020 - pdf -
Contrastive Learning of Structured World Models
T. Kipf, E. van der Pol, M. Welling
Paper - Apr 2020 - ICLR 2020 - oral - pdf -
Hyperspherical Prototype Networks
P. Mettes, E. van der Pol, C.G.M. Snoek
Paper - Dec 2019 - NeurIPS 2019 - pdf -
Beyond Local Nash Equilibria for Adversarial Networks
F.A. Oliehoek, R. Savani, J. Gallego-Posada, E. van der Pol, R. Groß
Paper - Nov 2018 - Benelearn 2018 - pdf -
Visual Rationalizations in Deep Reinforcement Learning for Atari Games
L. Weitkamp, E. van der Pol, Z. Akata
Paper - Nov 2018 - BNAIC 2018 - oral - pdf -
GANGs: Generative Adversarial Network Games
F.A. Oliehoek, R. Savani, J. Gallego-Posada, E. van der Pol, E.D. de Jong, R. Groß
Paper - Dec 2017 - Arxiv preprint - pdf -
Coordinated Deep Reinforcement Learners for Traffic Light Control
E. van der Pol, F.A. Oliehoek
Paper - Dec 2016 - NeurIPS 2016 Workshop on Learning, Inference and Control of Multi-Agent Systems - pdf -
Video Demo: Deep Reinforcement Learning for Coordination in Traffic Light Control
E. van der Pol, F.A. Oliehoek
Paper - Nov 2016 - BNAIC 2016 - pdf -
Deep Reinforcement Learning for Coordination in Traffic Light Control
E. van der Pol
MSc Thesis - Aug 2016 - University of Amsterdam - pdf -
Linguistic Style Accommodation in Disagreements
E. van der Pol, S. Gieske, R. Fernández
Paper - Aug 2016 - Joint Conference on Lexical and Computational Semantics 2016 - pdf -
Empirical Evaluation of Collective Rationality for Quota Rules in Judgment Aggregation
S. Gieske, E. van der Pol, U. Endriss
Paper - Nov 2015 - BNAIC 2015 - pdf
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