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News

• Expected Return Symmetries
  D. Muglich, J. Forkel, E. van der Pol, J. Foerster
  Paper - Feb 2025 - ICLR 2025 - pdf


• Symmetry & Structure in RL – State of the art, challenges, and future directions
  Keynote - Nov 2024 - EWRL 2024


• Exploring Uncharted Paths
  Keynote - Nov 2024 - ChemAI Workshop


• Symmetry & Structure in RL - State of the art, challenges, and future directions
  Keynote - Oct 2024 - IROS 2024 Workshop


• Featured in CS PhD narratives book
  Contribution - Dec 2023 - CWI


• 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


• Symmetries in Single and Multi-Agent Learning
  Keynote - Oct 2023 - Chalmers Structured Learning Workshop


• Symmetries in Reinforcement Learning
  Invited Talk - Oct 2023 - WAI NL Summit


• Nomination for the WAI NL Researcher Award
  Sep 2023 - WAI NL


• Successful PhD Defense
  Jul 2023 - University of Amsterdam


• Symmetry and Structure in Deep Reinforcement Learning
  E. van der Pol
  PhD Thesis - Jul 2023 - University of Amsterdam - pdf


• Organization: Symmetries in Robot Learning Workshop
  Jul 2023 - RSS 2023


• Symmetries in Reinforcement Learning
  Guest Lecture - Jul 2023 - Barcelona Reinforcement Learning Summer School


• Physics for Machine Learning Workshop
  Event - May 2023 - ICLR 2023


• Symmetry and Structure in Deep Reinforcement Learning
  Invited Talk - Feb 2023 - MILA Montreal


• WiML Profile
  Contribution - Jan 2023


• Symmetry and Structure in Deep Reinforcement Learning
  Invited Talk - Dec 2022 - Imperial College London


• Introduction to Reinforcement Learning
  Guest Lecture - Dec 2022 - Amsterdam


• 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


• Symmetries in Reinforcement Learning
  Guest Lecture - Jul 2022 - Amsterdam Reinforcement Learning Summer School


• Symmetry and Structure in Deep Reinforcement Learning
  Keynote - Jun 2022 - BeneRL 2022


• Microsoft Senior Researcher
  Job - May 2022


• Gamification and Multi-Agent Solutions Workshop
  Event - Apr 2022 - ICLR 2022


• 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


• Symmetry and Structure in Deep Reinforcement Learning
  Invited Talk - Apr 2022 - Oxford


• Data-Centric Reinforcement Learning Workshop
  Event - Dec 2021 - NeurIPS 2021


• Introduction to Reinforcement Learning
  Guest Lecture - Nov 2021 - Amsterdam


• 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


• Geometric Deep Learning and Reinforcement Learning
  Invited Talk - Jul 2021 - AIMS-AMMI GDL Course


• DeepMind Internship
  Job - Jun 2021


• Equivariance in MDPs
  Keynote - May 2021 - ICLR Workshop


• Bad Hypothesis Contest Social
  Event - May 2021 - ICLR 2021


• Featured in GNNs in RL blog
  Contribution - Jan 2021


• MDP Homomorphic Networks for Deep Reinforcement Learning
  Invited Talk - Dec 2020 - Tuebingen


• 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


• Introduction to Reinforcement Learning
  Guest Lecture - Nov 2020 - Amsterdam


• Equivariance, deep reinforcement learning, and making it work
  Invited Talk - Nov 2020 - Leiden


• Data-Efficient Reinforcement Learning
  Invited Talk - Oct 2020 - TU Delft


• 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


• Hyperspherical Prototype Networks
  Contributed Talk - Oct 2019 - Bosch Center for AI


• Deep Latent Planning
  Contributed Talk - Nov 2018 - Bosch Center for AI


• 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


• Deep Reinforcement Learning
  Guest Lecture - May 2016 - Amsterdam


• 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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