Sciweavers

ATAL
2010
Springer
13 years 5 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
ATAL
2010
Springer
13 years 5 months ago
ALIVE: an agent-based framework for dynamic and robust service-oriented applications
Service-oriented systems are becoming more and more nodes in a digital, dynamic ecosystem requiring the identification and establishment of flexible, spontaneous collaboration act...
Javier Vázquez-Salceda, Wamberto Weber Vasc...
ATAL
2010
Springer
13 years 5 months ago
Exploiting domain knowledge to improve norm synthesis
Social norms enable coordination in multiagent systems by constraining agent behaviour in order to achieve a social objective. Automating the design of social norms has been shown...
George Christelis, Michael Rovatsos, Ronald P. A. ...
ATAL
2010
Springer
13 years 5 months ago
Robust Bayesian methods for Stackelberg security games
Recent work has applied game-theoretic models to real-world security problems at the Los Angeles International Airport (LAX) and Federal Air Marshals Service (FAMS). The analysis o...
Christopher Kiekintveld, Milind Tambe, Janusz Mare...
ATAL
2010
Springer
13 years 5 months ago
An agent-based framework to support crime prevention
Tibor Bosse, Charlotte Gerritsen
ATAL
2010
Springer
13 years 5 months ago
Using training regimens to teach expanding function approximators
Peng Zang, Arya Irani, Peng Zhou, Charles L. Isbel...
ATAL
2010
Springer
13 years 5 months ago
Male optimality and uniqueness in stable marriage problems with partial orders
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
ATAL
2010
Springer
13 years 5 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...