"Model tree methods for explaining deep reinforcement learning agents in ..."

Vilde B. Gjærum et al. (2023)

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DOI: 10.1016/J.NEUCOM.2022.10.014

access: open

type: Journal Article

metadata version: 2025-03-03

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Vilde B. Gjærum, Inga Strümke, Jakob Løver, Timothy Miller, Anastasios M. Lekkas:
Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. Neurocomputing 515: 133-144 (2023)

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