Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
We present a hybrid kinetic-MHD model consisting of 3 species, the bulk fluid ions and electrons, and a kinetic minority hot particle species. The 3 species equations are derived ...
The advent of large scale multi-hop wireless networks highlights problems of fault tolerance and scale in distributed system, motivating designs that autonomously recover from tra...
— Computer supported collaborative applications on overlay networks are gaining popularity among users who are geographically dispersed. Examples of these kinds of applications i...
Shankar M. Banik, Sridhar Radhakrishnan, Tao Zheng...