Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Aspect oriented programming (AOP), when used well, has many advantages. Aspects are however, programming-time constructs, i.e., they relate to source code. Previously, we develope...
John A. Stankovic, Prashant Nagaraddi, Zhendong Yu...
Ambiguity in the output is a concern for NLG in general. This paper considers the case of structural ambiguity in spoken language generation. We present an algorithm which inserts ...
In the design process of SoC (System on Chip), validation is one of the most critical and costly activity. The main problem for industrial companies like STMicroelectronics, stand...
Pierre Wodey, Geoffrey Camarroque, Fabrice Baray, ...
Representation of relative spatial relations between objects is required in many multimedia database applications. Quantitative representation of spatial relations taking into acc...