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News

• Expected Return Symmetries
  Paper - Feb 2025 - ICLR 2025
• Symmetry & Structure in RL – State of the art, challenges, and future directions
  Keynote - Nov 2024 - EWRL 2024
• Talk
  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
  Paper - Nov 2023 - CoRL 2023
• 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
  PhD Thesis - Jul 2023 - University of Amsterdam
• 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
  Paper - Nov 2022 - NeurIPS 2022
• Maximum Class Separation as Inductive Bias in One Matrix
  Paper - Nov 2022 - NeurIPS 2022 - oral
• Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering
  Paper - Jul 2022 - ICML 2022 workshop on Topology, Algebra, and Geometry in Machine Learning
• 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
  Paper - Apr 2022 - ICLR 2022 - spotlight
• Multi-Agent MDP Homomorphic Networks
  Paper - Apr 2022 - ICLR 2022
• 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
  Paper - Jul 2021 - ICML 2021 workshop on Self-Supervised Learning for Reasoning and Perception
• 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
  Paper - Dec 2020 - NeurIPS 2020
• 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
  Paper - May 2020 - AAMAS 2020
• Contrastive Learning of Structured World Models
  Paper - Apr 2020 - ICLR 2020 - oral
• Hyperspherical Prototype Networks
  Paper - Dec 2019 - NeurIPS 2019
• 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
  Paper - Nov 2018 - Benelearn 2018
• Visual Rationalizations in Deep Reinforcement Learning for Atari Games
  Paper - Nov 2018 - BNAIC 2018 - oral
• GANGs: Generative Adversarial Network Games
  Paper - Dec 2017 - Arxiv preprint
• Coordinated Deep Reinforcement Learners for Traffic Light Control
  Paper - Dec 2016 - NeurIPS 2016 Workshop on Learning, Inference and Control of Multi-Agent Systems
• Video Demo: Deep Reinforcement Learning for Coordination in Traffic Light Control
  Paper - Nov 2016 - BNAIC 2016
• Deep Reinforcement Learning for Coordination in Traffic Light Control
  MSc Thesis - Aug 2016 - University of Amsterdam
• Linguistic Style Accommodation in Disagreements
  Paper - Aug 2016 - Joint Conference on Lexical and Computational Semantics 2016
• Deep Reinforcement Learning
  Guest Lecture - May 2016 - Amsterdam
• Empirical Evaluation of Collective Rationality for Quota Rules in Judgment Aggregation
  Paper - Nov 2015 - BNAIC 2015

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