Quentin Delfosse

According to our database, Quentin Delfosse authored at least 25 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning.

Hikaru Shindo, Henri Rößler, Quentin Delfosse, Kristian Kersting

CoRR, April, 2026

LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking.

Lukas Helff, Quentin Delfosse, David Steinmann, Ruben Härle, Hikaru Shindo, Patrick Schramowski, Wolfgang Stammer, Kristian Kersting, Felix Friedrich

CoRR, April, 2026

Boosting deep Reinforcement Learning using pretraining with Logical Options.

Zihan Ye, Phil Chau, Raban Emunds, Jannis Blüml, Cedric Derstroff, Quentin Delfosse, Oleg Arenz, Kristian Kersting

CoRR, March, 2026

2025

STORM: Segment, Track, and Object Re-Localization from a Single Image.

Yu Deng, Teng Cao, Hikaru Shindo, Jiahong Xue, Quentin Delfosse, Kristian Kersting

CoRR, November, 2025

Deep Reinforcement Learning Agents are not even close to Human Intelligence.

Quentin Delfosse, Jannis Blüml, Fabian Tatai, Théo Vincent, Bjarne Gregori, Elisabeth Dillies, Jan Peters, Constantin A. Rothkopf, Kristian Kersting

CoRR, May, 2025

Better Decisions through the Right Causal World Model.

Elisabeth Dillies, Quentin Delfosse, Jannis Blüml, Raban Emunds, Florian Peter Busch, Kristian Kersting

CoRR, April, 2025

Deep Reinforcement Learning via Object-Centric Attention.

Jannis Blüml, Cedric Derstroff, Bjarne Gregori, Elisabeth Dillies, Quentin Delfosse, Kristian Kersting

CoRR, April, 2025

Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs.

Hector Kohler, Quentin Delfosse, Waris Radji, Riad Akrour, Philippe Preux

CoRR, March, 2025

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning.

Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Interpretable end-to-end Neurosymbolic Reinforcement Learning agents.

Nils Grandien, Quentin Delfosse, Kristian Kersting

CoRR, 2024

OCALM: Object-Centric Assessment with Language Models.

Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian Kersting, Eyke Hüllermeier

CoRR, 2024

EXPIL: Explanatory Predicate Invention for Learning in Games.

Jingyuan Sha, Hikaru Shindo, Quentin Delfosse, Kristian Kersting, Devendra Singh Dhami

CoRR, 2024

HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning.

Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Kristian Kersting

CoRR, 2024

Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning.

Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux

CoRR, 2024

Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop.

Hector Kohler, Quentin Delfosse, Paul Festor, Philippe Preux

CoRR, 2024

Pix2Code: Learning to Compose Neural Visual Concepts as Programs.

Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting

Proceedings of the Uncertainty in Artificial Intelligence, 2024

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments.

Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting

RLJ, 2024

Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents.

Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adaptive Rational Activations to Boost Deep Reinforcement Learning.

Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Boosting Object Representation Learning via Motion and Object Continuity.

Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction.

Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adaptable Adapters.

Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability.

Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Generative Adversarial Neural Cellular Automata.

Maximilian Otte, Quentin Delfosse, Johannes Czech, Kristian Kersting

CoRR, 2021

Recurrent Rational Networks.

Quentin Delfosse, Patrick Schramowski, Alejandro Molina, Kristian Kersting

CoRR, 2021