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ICMLA
2010
15 years 4 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
JOTA
2011
149views more  JOTA 2011»
15 years 1 months ago
Globally Convergent Cutting Plane Method for Nonconvex Nonsmooth Minimization
: Nowadays, solving nonsmooth (not necessarily differentiable) optimization problems plays a very important role in many areas of industrial applications. Most of the algorithms d...
Napsu Karmitsa, Mario Tanaka Filho, José He...
TVCG
2011
108views more  TVCG 2011»
15 years 1 months ago
Creature Control in a Fluid Environment
—In this paper, we propose a method designed to allow creatures to actively respond to a fluid environment. We explore various objective functions in order to determine ways to ...
Michael Lentine, Jon Gretarsson, Craig A. Schroede...
ASIAN
2007
Springer
102views Algorithms» more  ASIAN 2007»
16 years 1 months ago
A Static Birthmark of Binary Executables Based on API Call Structure
Abstract. A software birthmark is a unique characteristic of a program that can be used as a software theft detection. In this paper we suggest and empirically evaluate a static bi...
Seokwoo Choi, Heewan Park, Hyun-il Lim, Taisook Ha...
DASFAA
2010
IEEE
179views Database» more  DASFAA 2010»
16 years 1 months ago
Scalable Splitting of Massive Data Streams
Scalable execution of continuous queries over massive data streams often requires splitting input streams into parallel sub-streams over which query operators are executed in paral...
Erik Zeitler, Tore Risch