Author

Kristian Kersting

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Preprint Oct 2026

Interpretable Meta-Policies for Neural Decision Making

Deep Reinforcement Learning remains difficult to interpret and align due to the black-box nature of neural networks. While (neuro-)symbolic approaches improve transparency by incorporating symbolic reasoning, applying them directly to low-level actions results in overly complex, unreadable policies. We introduce NEXUS,...

Raban Emunds, Jannis Blüml, Quentin Delfosse et al. · 0 citations

#machine learning Preprint Sep 2026

ALDER: Discovering the Laws of a World by Acting in It

AlDER (Action-guided Law Discovery, Evaluation, and Revision), a method that actively proposes novel experiments to test and revise models, shows that explicit equation-based world models can be tested and revised through interaction, then naturally used to guide goal-directed control.

Teng Cao, Yuwanqi Deng, Quentin Delfosse et al. · 0 citations