Quentin Delfosse

31 papers A* 5A 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting deep Reinforcement Learning using pretraining with Logical Options. CoRR Zihan Ye, Phil Chau, Raban Emunds, Jannis Blüml, Cedric Derstroff, Quentin Delfosse, Oleg Arenz, Kristian Kersting
2025	J	`jnl`	Better Decisions through the Right Causal World Model. CoRR Elisabeth Dillies, Quentin Delfosse, Jannis Blüml, Raban Emunds, Florian Peter Busch, Kristian Kersting
2025	A*	`conf`	BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. ICLR Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2025	J	`jnl`	Deep Reinforcement Learning Agents are not even close to Human Intelligence. CoRR Quentin Delfosse, Jannis Blüml, Fabian Tatai, Théo Vincent, Bjarne Gregori, Elisabeth Dillies, Jan Peters, Constantin A. Rothkopf, Kristian Kersting
2025	J	`jnl`	Deep Reinforcement Learning via Object-Centric Attention. CoRR Jannis Blüml, Cedric Derstroff, Bjarne Gregori, Elisabeth Dillies, Quentin Delfosse, Kristian Kersting
2025	J	`jnl`	Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs. CoRR Hector Kohler, Quentin Delfosse, Waris Radji, Riad Akrour, Philippe Preux
2025	J	`jnl`	STORM: Segment, Track, and Object Re-Localization from a Single Image. CoRR Yu Deng, Teng Cao, Hikaru Shindo, Jiahong Xue, Quentin Delfosse, Kristian Kersting
2024	A*	`conf`	Adaptive Rational Activations to Boost Deep Reinforcement Learning. ICLR Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting
2024	J	`jnl`	BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. CoRR Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	EXPIL: Explanatory Predicate Invention for Learning in Games. CoRR Jingyuan Sha, Hikaru Shindo, Quentin Delfosse, Kristian Kersting, Devendra Singh Dhami
2024	J	`jnl`	HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning. CoRR Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Kristian Kersting
2024	A*	`conf`	Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. NeurIPS Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting
2024	J	`jnl`	Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. CoRR Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting
2024	J	`jnl`	Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux
2024	J	`jnl`	Interpretable end-to-end Neurosymbolic Reinforcement Learning agents. CoRR Nils Grandien, Quentin Delfosse, Kristian Kersting
2024	J	`jnl`	OCALM: Object-Centric Assessment with Language Models. CoRR Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian Kersting, Eyke Hüllermeier
2024	J	`jnl`	OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. RLJ Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting
2024	A	`conf`	Pix2Code: Learning to Compose Neural Visual Concepts as Programs. UAI Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Pix2Code: Learning to Compose Neural Visual Concepts as Programs. CoRR Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop. CoRR Hector Kohler, Quentin Delfosse, Paul Festor, Philippe Preux
2023	—	`conf`	Boosting Object Representation Learning via Motion and Object Continuity. ECML/PKDD (4) Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
2023	A*	`conf`	Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. NeurIPS Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. CoRR Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2023	J	`jnl`	OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. CoRR Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting
2022	—	`conf`	Adaptable Adapters. NAACL-HLT Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych
2022	J	`jnl`	Adaptable Adapters. CoRR Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych
2022	J	`jnl`	Boosting Object Representation Learning via Motion and Object Continuity. CoRR Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
2022	A*	`conf`	CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability. ICLR Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting
2021	J	`jnl`	CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability. CoRR Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting
2021	J	`jnl`	Generative Adversarial Neural Cellular Automata. CoRR Maximilian Otte, Quentin Delfosse, Johannes Czech, Kristian Kersting
2021	J	`jnl`	Recurrent Rational Networks. CoRR Quentin Delfosse, Patrick Schramowski, Alejandro Molina, Kristian Kersting