This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
We consider a class of restless multi-armed bandit problems that arises in multi-channel opportunistic communications, where channels are modeled as independent and stochastically...
This paper proposes an evolutionary algorithm (EA) that is applied to the traveling salesman problem (TSP). Existing approximation methods to address the TSP known to be state-of-t...
Freuder in (1991) defined interchangeability for classical Constraint Satisfaction Problems (CSPs). Recently (2002), we extended the definition of interchangeability to Soft CSP...
We address the task of problem determination in a distributed system using probes, or test transactions, which gather information about system components. Effective probing requir...
Mark Brodie, Irina Rish, Sheng Ma, Natalia Odintso...