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Quentin Delfosse

Interpretable end-to-end Neurosymbolic Reinforcement Learning agents

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Oct 18, 2024
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BlendRL: A Framework for Merging Symbolic and Neural Policy Learning

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Oct 15, 2024
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OCALM: Object-Centric Assessment with Language Models

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Jun 24, 2024
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EXPIL: Explanatory Predicate Invention for Learning in Games

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Jun 10, 2024
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HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning

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Jun 06, 2024
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Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning

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May 23, 2024
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Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop

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Apr 16, 2024
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Pix2Code: Learning to Compose Neural Visual Concepts as Programs

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Feb 13, 2024
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Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

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Feb 01, 2024
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OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

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Jun 14, 2023
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