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Found 3 papers, 1 papers with code
Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AI
This study uses supervised machine learning (SML) and explainable artificial intelligence (AI) to model, predict and understand human decision-making during skillful joint-action.
Control-Tutored Reinforcement Learning
We introduce a control-tutored reinforcement learning (CTRL) algorithm.
Control-Tutored Reinforcement Learning: an application to the Herding Problem
In this extended abstract we introduce a novel control-tutored Q-learning approach (CTQL) as part of the ongoing effort in developing model-based and safe RL for continuous state spaces.
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