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ATAL
2008
Springer
15 years 7 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
ATAL
2011
Springer
14 years 5 months ago
Solving Stackelberg games with uncertain observability
Recent applications of game theory in security domains use algorithms to solve a Stackelberg model, in which one player (the leader) first commits to a mixed strategy and then th...
Dmytro Korzhyk, Vincent Conitzer, Ronald Parr
ICML
1995
IEEE
16 years 6 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...
WSC
2000
15 years 6 months ago
Interactive Web-based animations for teaching and learning
Web-based study resources can be viewed as a basic requirement in order to remain a competitive player on a more and more globalised educational market. For that reason it is gett...
Michael Syrjakow, Jörg Berdux, Helena Szczerb...
ICAT
2003
IEEE
15 years 10 months ago
Evaluation and User Study of Haptic Simulator for Learning Palpation in Cardiovascular Surgery
This study presents a haptic simulator for learning palpation of aorta in cardiovascular surgery and performs quantitative evaluation in educational use through some user study. T...
Megumi Nakao, Tomohiro Kuroda, Masaru Komori, Hiro...