Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Massih-Reza Amini,Stéphane Canu,Grigorios Tsoumaka Conference p

transplantation

Pde5-Inhibitors

TAP

Safe Exploration Method for?Reinforcement Learning Under Existence of?Disturbancesufficient conditions to construct conservative inputs not containing an exploring aspect used in the proposed method and prove that the safety in the above explained sense is guaranteed with the proposed method. Furthermore, we illustrate the validity and effectiveness of the proposed method throug

GENRE

Model Selection in?Reinforcement Learning with?General Function Approximationson classes (i.e., . and .) a priori. Furthermore, for both the settings, we show that the cost of model selection is an additive term in the regret having weak (logarithmic) dependence on the learning horizon?..

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MAVIPER: Learning Decision Tree Policies for?Interpretable Multi-agent Reinforcement Learninge trees of each agent by predicting the behavior of the other agents using their anticipated trees, and uses resampling to focus on states that are critical for its interactions with other agents. We show that both algorithms generally outperform the baselines and that MAVIPER-trained agents achieve