Paper "interpretable reinforcement learning" Papers

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DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces

Jacob F. Pettit, Chak Shing Lee, Jiachen Yang et al.

AAAI 2025paperarXiv:2412.11051
1
citations

SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode et al.

AAAI 2025paperarXiv:2412.13053
2
citations