Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
We propose a novel approach to encapsulate non-deterministic computations in functional logic programs. Our approach is based on set functions that return the set of all the resul...
Agent-oriented programming has been motivated in part by the conception that high-level programming constructs based on common tions such as beliefs and goals provide appropriate a...
Abstract. [Context and motivation] Ever-growing systems’ complexity and novel requirements engineering approaches such as reuse or globalization imply that requirements are produ...
Abstract. We wish to recover an image corrupted by blur and Gaussian or impulse noise, in a variational framework. We use two data-fidelity terms depending on the noise, and sever...