The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
We analyze the complexity of computing pure strategy Nash equilibria (PSNE) in symmetric games with a fixed number of actions. We restrict ourselves to “compact” representati...
Christopher Thomas Ryan, Albert Xin Jiang, Kevin L...
We present an interactive algorithm to compute surface distance maps for triangulated models. The distance map represents the distance-to-closest-primitive mapping at each point o...
Avneesh Sud, Naga K. Govindaraju, Russell Gayle, E...
This research further develops the light field and lumigraph imagebased rendering methods and extends their utility. We present alternate parameterizations that permit 1) interac...
Aaron Isaksen, Leonard McMillan, Steven J. Gortler