In the near future, container ports will no longer be able to expand into the surrounding land and will thus be unable to meet the storage requirements due to the boom in world tr...
In this paper we propose a family of algorithms combining treeclustering with conditioning that trade space for time. Such algorithms are useful for reasoning in probabilistic and...
—The paper concerns approximate dynamic decision making. It deals with solving Bellman equation to obtain the Bellman function via so-called suboptimal strategies. The suboptimal...
We have been working to uncover gender differences in the ways males and females problem solve in end-user programming situations, and have discovered differences in males’ vers...
Valentina Grigoreanu, Laura Beckwith, Xiaoli Z. Fe...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...