Designing the dialogue strategy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing di...
Diane J. Litman, Michael S. Kearns, Satinder P. Si...
In this paper we develop a notion of "objective trust" for Software Agents, that is trust of, or between, Agents based on actual experiences between those Agents. Experi...
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
We describe a Markov state model for a cloned potassium channel of the human heart ( 1KvLQTI ). The parameters of the model are determined by a least-squares fit of predicted vs. ...
John L. Maryak, Richard H. Smith, Raimond L. Winsl...
A new scheme for interactively testing what-if and alternative scenarios in parallel simulations is presented. Potential branches or choices can be specified interactively and in...