Decision process

Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation

Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan

Citations: 50 • 2001

Realtime Object Recognition Using Decision Tree Learning

Dirk Wilking, Thomas Röfer

Citations: 28 • 2005

A decision-theoretic approach in the design of an adaptive upper-limb stroke rehabilitation robot

Rajibul Huq, Peter Kán, Robby Goetschalckx, Diane Hébert, Jesse Hoey, Alex Mihailidis

Citations: 10 • 2011

A Decentralized Partially Observable Markov Decision Process for complete coverage onboard multiple shape changing reconfigurable robots

J. J. J. Pey, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

Citations: 7 • 2025

Adding Decision Management to Robotic Process Automation

Maximilian Völker, Simon Siegert, Mathias Weske

Citations: 7 • 2021

<title>Approaches to macro decompositions of large Markov decision process planning problems</title>

Terran Lane, Leslie Pack Kaelbling

Citations: 5 • 2002

A Solution to Time-Varying Markov Decision Processes

Lantao Liu, Gaurav S. Sukhatme

Citations: 4 • 2016

Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process

Akifumi Wachi, Hiroshi Kajino, Asim Munawar

Citations: 4 • 2018

Markov Decision Process Framework for Control-Based Reinforcement Learning

Yingdong Lu, Mark S. Squillante, Chai Wah Wu

Citations: 3 • 2023

A Decentralized Partially Observable Markov Decision Process for Dynamic Obstacle Avoidance and Complete Area Coverage using Multiple Reconfigurable Robots

J. J. J. Pey, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

Citations: 2 • 2024