2 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
Behavior Trees and State Machines in Robotics Applications
Razan Ghzouli, Thorsten Berger, Einar Broch Johnsen +2
Autonomous robots combine skills to form increasingly complex behaviors, called missions. While skills are often programmed at a relatively low abstraction level, their coordinatio…
Counterfactual Strategies for Markov Decision Processes
Paul Kobialka, Lina Gerlach, Francesco Leofante +3
Counterfactuals are widely used in AI to explain how minimal changes to a model's input can lead to a different output. However, established methods for computing counterfactuals t…
BedreFlyt: Improving Patient Flows through Hospital Wards with Digital Twins
Riccardo Sieve, Paul Kobialka, Laura Slaughter +3
Digital twins are emerging as a valuable tool for short-term decision-making as well as for long-term strategic planning across numerous domains, including process industry, energy…
ROSA: A Knowledge-based Solution for Robot Self-Adaptation
Gustavo Rezende Silva, Juliane PäÃler, S. Lizeth Tapia Tarifa +2
Autonomous robots must operate in diverse environments and handle multiple tasks despite uncertainties. This creates challenges in designing software architectures and task decisio…
Symbolic State Partitioning for Reinforcement Learning
Mohsen Ghaffari, Mahsa Varshosaz, Einar Broch Johnsen +1
Tabular reinforcement learning methods cannot operate directly on continuous state spaces. One solution for this problem is to partition the state space. A good partitioning enable…