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AAMAS
2007
Springer
14 years 2 months ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
AIPS
2007
13 years 11 months ago
Online Planning for Resource Production in Real-Time Strategy Games
Planning in domains with temporal and numerical properties is an important research problem. One application of this is the resource production problem in real-time strategy (RTS)...
Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, Chri...
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
13 years 3 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
IICS
2009
Springer
14 years 3 months ago
Splitting Overlay Network for Peer-to-Peer-based Massively Multiplayer Online Games
: Massively Multiplayer Online Games (MMOGs) gradually become one of the most popular internet applications. Traditional client-server architecture is widely used in MMOGs’ deplo...
Cheng Liu, Wentong Cai
CLIMA
2011
12 years 8 months ago
Verifying Team Formation Protocols with Probabilistic Model Checking
Multi-agent systems are an increasingly important software paradigm and in many of its applications agents cooperate to achieve a particular goal. This requires the design of effi...
Taolue Chen, Marta Z. Kwiatkowska, David Parker, A...