Tobias Huber

Informatiker, Wissenschaftlicher Mitarbeiter

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Towards a combined local and global explanation framework for deep reinforcement learning agents with visual input: novel methods and insights from human evaluation
Tiefes bestärkendes Lernen: Grundlagen, Approximationseigenschaft und Implementierung multimodaler Erklärungen
Integrating policy summaries with reward decomposition for explaining reinforcement learning agents
Benchmarking perturbation-based saliency maps for explaining Atari agents

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Tobias Huber

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