In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
A key challenge for agent architectures and programming paradigms is to account for defeasible reasoning over mental attitudes and to provide associated conflict resolution mechan...
Abstract. Web applications represent an important category of applications that owe much of their popularity to the ubiquitous accessibility using standard web browsers. The comple...