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Quentin Delfosse
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2020 – today
- 2024
- [j1]Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting:
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. RLJ 1: 400-449 (2024) - [c5]Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting:
Adaptive Rational Activations to Boost Deep Reinforcement Learning. ICLR 2024 - [i16]Quentin Delfosse, Sebastian Sztwiertnia, Wolfgang Stammer, Mark Rothermel, Kristian Kersting:
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents. CoRR abs/2401.05821 (2024) - [i15]Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting:
Pix2Code: Learning to Compose Neural Visual Concepts as Programs. CoRR abs/2402.08280 (2024) - [i14]Hector Kohler, Quentin Delfosse, Paul Festor, Philippe Preux:
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop. CoRR abs/2404.10906 (2024) - [i13]Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux:
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR abs/2405.14956 (2024) - [i12]Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Kristian Kersting:
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning. CoRR abs/2406.03997 (2024) - [i11]Jingyuan Sha, Hikaru Shindo, Quentin Delfosse, Kristian Kersting, Devendra Singh Dhami:
EXPIL: Explanatory Predicate Invention for Learning in Games. CoRR abs/2406.06107 (2024) - [i10]Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian Kersting, Eyke Hüllermeier:
OCALM: Object-Centric Assessment with Language Models. CoRR abs/2406.16748 (2024) - [i9]Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting:
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. CoRR abs/2410.11689 (2024) - [i8]Nils Grandien, Quentin Delfosse, Kristian Kersting:
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents. CoRR abs/2410.14371 (2024) - 2023
- [c4]Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. NeurIPS 2023 - [c3]Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting:
Boosting Object Representation Learning via Motion and Object Continuity. ECML/PKDD (4) 2023: 610-628 - [i7]Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. CoRR abs/2306.01439 (2023) - [i6]Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting:
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. CoRR abs/2306.08649 (2023) - 2022
- [c2]Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting:
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability. ICLR 2022 - [c1]Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych:
Adaptable Adapters. NAACL-HLT 2022: 3742-3753 - [i5]Nafise Sadat Moosavi
, Quentin Delfosse, Kristian Kersting, Iryna Gurevych:
Adaptable Adapters. CoRR abs/2205.01549 (2022) - [i4]Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting:
Boosting Object Representation Learning via Motion and Object Continuity. CoRR abs/2211.09771 (2022) - 2021
- [i3]Quentin Delfosse, Patrick Schramowski, Alejandro Molina, Kristian Kersting:
Recurrent Rational Networks. CoRR abs/2102.09407 (2021) - [i2]Maximilian Otte, Quentin Delfosse, Johannes Czech, Kristian Kersting:
Generative Adversarial Neural Cellular Automata. CoRR abs/2108.04328 (2021) - [i1]Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting:
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability. CoRR abs/2110.03331 (2021)
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last updated on 2024-11-28 20:33 CET by the dblp team
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