Today, there exists a huge variety of business document models for electronic data exchange among business partners used in business-to-business, business-to-government, as well a...
Michael Strommer, Christian Pichler, Philipp Liegl
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
Software maintenance and evolution is arguably a lengthy and expensive phase in the life cycle of a software system. A critical issue at this phase is change propagation: given a ...
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
This paper studies price properties in continuous double-auction markets in the presence of marketmakers, agents with special responsibilities for maintaining liquidity and orderl...