Abstract. Overload checking, forbidden regions, edge finding, and notfirst/not-last detection are well-known propagation rules to prune the start times of activities which have t...
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
Maximum Likelihood estimation theory can be used to develop optimal timing recovery schemes for digital communication systems. Tunable digital interpolation filters are commonly ...
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
When a projector is oblique with respect to a planar displaysurface, it creates keystoning and the projected imageis distorted. We present a rendering technique to display perspec...