Zintgraf, Luisa M

9 publications

FnTML 2025 A Tutorial on Meta-Reinforcement Learning Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson

ICML 2025 Scalable Meta-Learning via Mixed-Mode Differentiation Iurii Kemaev, Dan A. Calian, Luisa M Zintgraf, Gregory Farquhar, Hado Van Hasselt

ICML 2022 Communicating via Markov Decision Processes Samuel Sokota, Christian A Schroeder De Witt, Maximilian Igl, Luisa M Zintgraf, Philip Torr, Martin Strohmeier, Zico Kolter, Shimon Whiteson, Jakob Foerster

ICML 2022 Generalized Beliefs for Cooperative AI Darius Muglich, Luisa M Zintgraf, Christian A Schroeder De Witt, Shimon Whiteson, Jakob Foerster

ICLR 2022 Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients Milad Alizadeh, Shyam A. Tailor, Luisa M Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal

ICML 2021 Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning Luisa M Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson

NeurIPSW 2021 On the Practical Consistency of Meta-Reinforcement Learning Algorithms Zheng Xiong, Luisa M Zintgraf, Jacob Austin Beck, Risto Vuorio, Shimon Whiteson

ECML-PKDD 2020 Interactive Multi-Objective Reinforcement Learning in Multi-Armed Bandits with Gaussian Process Utility Models Diederik M. Roijers, Luisa M. Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé

ICLR 2017 Visualizing Deep Neural Network Decisions: Prediction Difference Analysis Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, Max Welling