* The author is an Associate Professor of Accounting on the faculty of the Tepper School of Business of Carnegie Mellon University, Pittsburgh, Pennsylvania, USA. The essay is written based on a few lectures on accounting theory given at various universities. The author thanks the audience at these lectures. In preparing the written manuscript, comments by Xijia Su of City University of Hong Ko...

J. Andrew Bagnell March 15, 2015 J. A. Bagnell is an associate professor at the Robotics Institute and Machine Learning Department at Carnegie Mellon University. Imitation learning is the study of algorithms that attempt to improve performance by mimicking a teacher’s decisions and behaviors. Such techniques promise to enable effective “programming by demonstration” to automate tasks, such as d...

Multiple scattering is an important and interesting topic, of relevance in a wide variety of physical contexts. In this short paper, we attempt to review some of the theory and applications with the aim of encouraging further investigations. For simplicity, we consider the scattering of two-dimensional time-harmonic acoustic waves by hard parallel cylinders. Methods described include separation...

Parity games and their subclasses and variants pop up in various contexts: μ-calculus, tree automata, program verification [3, 1, 8]. Such games provide only binary information indicating the winning player. However, in classical games theory [12] the emphasis is rather on how much we win or lose. Can we incorporate the information about the profits and losses into parity games?