We present a new approach for TAM optimization and test scheduling in the modular testing of mixed-signal SOCs. A test planning approach for digital SOCs is extended to handle ana...
— Localisation is one of the most important tasks to be accomplished in order to realize the complete autonomy of a mobile robot. In this paper, a new strategy for global localis...
Andrea Gasparri, Stefano Panzieri, Federica Pascuc...
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
A Web proxy must accurately predict network performance between itself and its servers and clients in order to make good distillation decisions. In this paper, we show that the cu...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...