We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
The current structure of the High Level Architecture (HLA) puts a tremendous burden on network load and CPU utilization for large distributed simulations due to its limited contro...
We describe work to control graphics rendering under limited computational resources by taking a decision-theoretic perspective on perceptual costs and computational savings of ap...
: We present a spatial model of group interaction in virtual environments. The model aims to provide flexible and natural support for managing conversations among large groups gath...
- Until recently the reasons for reduced efficiency and limited implementation of new security systems has been the insufficient performance of hardware that executes access contro...