51 citations · 233 across the 33 of their papers we have counts for
3 papers · 1 filter
Perception-Based Beliefs for POMDPs with Visual Observations
Miriam Schäfers, Merlijn Krale, Thiago D. Simão +2
Partially observable Markov decision processes (POMDPs) are a principled planning model for sequential decision-making under uncertainty. Yet, real-world problems with high-dimensi…
Algebraically Explainable Controllers: Decision Trees and Support Vector Machines Join Forces
Florian Jüngermann, Jan Křetínský, Maximilian Weininger
Recently, decision trees (DT) have been used as an explainable representation of controllers (a.k.a. strategies, policies, schedulers). Although they are often very efficient and p…
dtControl: Decision Tree Learning Algorithms for Controller Representation
Pranav Ashok, Mathias Jackermeier, Pushpak Jagtap +3
Decision tree learning is a popular classification technique most commonly used in machine learning applications. Recent work has shown that decision trees can be used to represent…