We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Game and simulation development is a difficult process because there are many low level infrastructure concerns that need to be addressed. This is a barrier to development for ine...
Frederick C. Harris Jr., Leandro Basallo, Ryan E. ...
In this paper, we describe a simulation game designed to quantify the benefits of an enterprise resource planning system coupled with the balanced scorecard framework in an extend...
James Ritchie-Dunham, Douglas J. Morrice, Judy E. ...
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
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...