Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Ulf Brefeld,Elisa Fromont,Céline Robardet Conference proceeding

chondromalacia

fringe

0302-9743 ledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019..The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. ..The contributions were organized in topical sectio

Credence

Practical Open-Loop Optimistic Planningt leads to better practical performances while retaining the sample complexity bound. Finally, we propose an efficient implementation that significantly improves the time complexity of both algorithms.

不要严酷

Incisor

Melodrama

languid

谄媚于人

Practical Open-Loop Optimistic Planning - i.e. sequences of actions - and under budget constraint. In this setting, the . (.) algorithm enjoys good theoretical guarantees but is overly conservative in practice, as we show in numerical experiments. We propose a modified version of the algorithm with tighter upper-confidence bounds, ., tha

Decline

渐变

Stochastic Activation Actor Critic Methodstochastic weights in NoisyNets and stochastic policies in the maximum entropy RL frameworks. Yet effective and general approaches to include such elements in actor-critic models are still lacking. Inspired by the aforementioned techniques, we propose an effective way to inject randomness into actor-