We consider real-time multi-agent coordination in a dynamic and uncertain domain addressing both distributed state information and partial knowledge of the common reward function....
Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanc...
In this paper, we present a simple distributed algorithm for resource allocation which simultaneously approximates the optimum value for a large class of objective functions. In p...
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Futures are special kind of values that allow the synchronisation of different processes. Futures are in fact identifiers for promised results of function calls that are still awa...
Designing a cost effective superscalar architecture for x86 compatible microprocessors is a challenging task in terms of both technical difficulty and commercial value. One of the...