Markus Wulfmeier

Research Scientist, DeepMind

Joined

August 2018

Names

Markus Wulfmeier (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

DBLP

Career & Education History

Research Scientist

DeepMind (deepmind.com)

2018 – Present

Postdoc

University of Oxford (ox.ac.uk)

2018 – 2018

Advisors, Relations & Conflicts

Visiting Scholar Advisor

Pieter Abbeel

2017 – 2017

PhD Advisor

Ingmar Posner

2014 – 2017

Expertise

Reinforcement Learning

Present

Transfer Learning

Present

Robotics

Present

Hierarchical Reinforcement Learning

Present

Imitation Learning

Present

Vision Language Action Models

Present

RLHF

Present

Posttraining

Present

Publications

Cognitive models can reveal interpretable value trade-offs in language models
Sonia Krishna Murthy, Rosie Zhao, Jennifer Hu, Sham M. Kakade, Markus Wulfmeier, Peng Qian, Tomer Ullman
- ICLR 2026 Poster
- Readers: Everyone
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Thomas Schmied, Jörg Bornschein, Jordi Grau-Moya, Markus Wulfmeier, Razvan Pascanu
- ICLR 2026 Poster
- Readers: Everyone
Inside you are many wolves: Using cognitive models to interpret value trade-offs in LLMs
Sonia Krishna Murthy, Rosie Zhao, Jennifer Hu, Sham M. Kakade, Markus Wulfmeier, Peng Qian, Tomer Ullman
- CogInterp @ NeurIPS 2025 Oral
- Readers: Everyone
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Thomas Schmied, Jörg Bornschein, Jordi Grau-Moya, Markus Wulfmeier, Razvan Pascanu
- EXAIT@ICML 2025 Poster
- Readers: Everyone
EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control
Samuel Holt, Todor Davchev, Dhruva Tirumala, Ben Moran, Atil Iscen, Antoine Laurens, Yixin Lin, Erik Frey, Markus Wulfmeier, Francesco Romano, Nicolas Heess
- ICML 2025 poster
- Readers: Everyone
Evolving Control: Evolved High Frequency Control for Continuous Control Tasks
Samuel Holt, Todor Davchev, Dhruva Tirumala, Ben Moran, Yixin Lin, Antoine Laurens, Atil Iscen, Erik Frey, Markus Wulfmeier, Francesco Romano, Nicolas Heess
- CoRL 2024 Workshop SAFE-ROL Poster
- Readers: Everyone
Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement
Michael Bloesch, Markus Wulfmeier, Philemon Brakel, Todor Davchev, Martina Zambelli, Jost Tobias Springenberg, Abbas Abdolmaleki, William F Whitney, Nicolas Heess, Roland Hafner, Martin Riedmiller
- Submitted to ICLR 2025
- Readers: Everyone
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin Riedmiller, Nicolas Heess
- CoRL 2024
- Readers: Everyone
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
- FoRLaC Poster
- Readers: Everyone
Imitating Language via Scalable Inverse Reinforcement Learning
Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jorg Bornschein, Sandy Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin Riedmiller
- NeurIPS 2024 poster
- Readers: Everyone

View all 104 publications

Co-Authors

View all 166 co-authors