Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
A key problem that arises when unstructured text is being queried is that of properly recognizing and exploiting geographical terms and entities. Here we describe a mechanism for ...
Yi Li, Alistair Moffat, Nicola Stokes, Lawrence Ca...
Abstract. The approaches previously used for sentence alignment (sentence length, word correspondence and cognate matching) take into account different aspects of similarity betwe...
Future embedded systems will integrate hundreds of processors. Current design space exploration methods cannot cope with such a complexity. It is mandatory to extend these methods...
Issam Maalej, Guy Gogniat, Jean Luc Philippe, Moha...
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...