—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
We consider a multi-channel opportunistic communication system where the states of these channels evolve as independent and statistically identical Markov chains (the Gilbert-Elli...
Orc is a kernel language for structured concurrent programming. Orc provides three powerful combinators that define the structure of a concurrent computation. These combinators su...
Ian Wehrman, David Kitchin, William R. Cook, Jayad...
We present an interactive system for synthesizing urban layouts by example. Our method simultaneously performs both a structurebased synthesis and an image-based synthesis to gene...
Daniel G. Aliaga, Carlos A. Vanegas, Bedrich Benes