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AAMAS
2005
Springer
15 years 6 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
EC
2000
123views ECommerce» more  EC 2000»
15 years 6 months ago
Embodiment of Evolutionary Computation in General Agents
Holland's Adaptation in Natural and Artificial Systems largely dealt with how systems, comprised of many self-interested entities, can and should adapt as a whole. This semin...
Robert E. Smith, Claudio Bonacina, Paul E. Kearney...
MOC
2011
15 years 1 months ago
An optimal adaptive mixed finite element method
Abstract. Various applications in uid dynamics and computational continuum mechanics motivate the development of reliable and ecient adaptive algorithms for mixed nite element m...
Carsten Carstensen, Hella Rabus
PRIMA
2009
Springer
16 years 29 days ago
Recursive Adaptation of Stepsize Parameter for Non-stationary Environments
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
Itsuki Noda
SAC
2000
ACM
15 years 10 months ago
The Mobile Agent Technology to Support and to Access Museum Information
The global scenario put together by communication networks determines new opportunities towards the realization of Internetbased distributed services in many complex and composite...
Paolo Bellavista, Antonio Corradi, Andrea Tomasi