ing and Verifying Strategy-proofness for Auction Mechanisms E. M. Tadjouddine, F. Guerin, and W. Vasconcelos Department of Computing Science, King's College, University of Abe...
Emmanuel M. Tadjouddine, Frank Guerin, Wamberto We...
A component revolution is underway, bringing developers improved productivity and opportunities for code reuse. However, whereas existing tools work well for builders of desktop ap...
Krzysztof Ostrowski, Ken Birman, Danny Dolev, Jong...
The likely advent of AGI and the long-established trend of improving computational hardware promise a dual revolution in coming decades: machines which are both more intelligent an...
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...