We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
This paper extends some duality results from a standard optimization setup to a noncooperative (Nash) game framework. A Nash game (NG) with coupled constraints is considered. Solv...
Background: High-throughput methods for detecting protein-protein interactions enable us to obtain large interaction networks, and also allow us to computationally identify the as...
d Abstract) Paul Beame1, , Matei David2, , Toniann Pitassi2, , and Philipp Woelfel2,† 1 University of Washington 2 University of Toronto Abstract. We solve some fundamental probl...
Paul Beame, Matei David, Toniann Pitassi, Philipp ...
When trying to describe the behaviour of large systems, such as the business processes of large enterprises, we often adopt diagramming techniques based on derivatives of data flo...