We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Strong user involvement and clear business objectives, both relying on efficient communication between the developers and the business, are key factors for a project's succes...
Martin Nussbaumer, Patrick Freudenstein, Martin Ga...
Geographic information retrieval (GIR) is, as a branch of traditional information retrieval, a discipline that tries to enrich data with geographical information to make it suitab...
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
— This paper aims to present ideas to bridge the gap between two conflicting views of information: Shannon information, which is used to model physical layer information, and se...