Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
In this article we explore the short and largely undocumented history of electronic government, discuss the literature of e-government at the local government level, and document ...
Stephen H. Holden, Donald F. Norris, Patricia D. F...
Consider the execution of a failing program as a sequence of program states. Each state induces the following state, up to the failure. Which variables and values of a program sta...