////////// Elise van der Pol //////////

I’m a reinforcement learning researcher working in AI for Science and geometric deep reinforcement learning. You can contact me through e-mail: evanderpol[at][company][dot]com.

Academic Bio

Researcher at Microsoft Research AI for Science, Amsterdam. Before joining MSR, I completed my PhD on the topic of Symmetry and Structure in Deep Reinforcement Learning in the Amsterdam Machine Learning Lab, working with Max Welling (UvA), Frans Oliehoek (TU Delft) and Herke van Hoof (UvA). Before my PhD, I studied Artificial Intelligence at the University of Amsterdam where I obtained my Master’s degree (cum laude). My MSc thesis was on Deep Reinforcement Learning for Coordinated Traffic Light Controllers. I was also involved with Inclusive AI.

Picture of me can be found here.

News

• Expected Return Symmetries
  Paper - ICLR 2025 - Feb 2025
• Symmetry & Structure in RL – State of the art, challenges, and future directions
  Keynote - EWRL 2024 - Nov 2024
• Exploring Uncharted Paths
  Keynote - ChemAI Workshop - Nov 2024
• Symmetry & Structure in RL - State of the art, challenges, and future directions
  Keynote - IROS 2024 Workshop - Oct 2024
• Featured in CS PhD narratives book
  Contribution - CWI - Dec 2023
• One-shot Imitation Learning via Interaction Warping
  Paper - CoRL 2023 - Nov 2023
• Symmetries in Single and Multi-Agent Learning
  Keynote - Chalmers Structured Learning Workshop - Oct 2023
• Symmetries in Reinforcement Learning
  Invited Talk - WAI NL Summit - Oct 2023
• Nomination for the WAI NL Researcher Award
  WAI NL - Sep 2023
• Symmetry and Structure in Deep Reinforcement Learning
  PhD Thesis - University of Amsterdam - Jul 2023

> all publications > all talks > all news



about site .. rss feed .. scholar .. mastodon .. github .. bluesky