Search Results for author: Mark Rothermel

Found 1 papers, 1 papers with code

Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

1 code implementation11 Jan 2024 Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting

Unfortunately, the black-box nature of deep neural networks impedes the inclusion of domain experts for inspecting the model and revising suboptimal policies.

reinforcement-learning Reinforcement Learning (RL)

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