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ATAL
2006
Springer
14 years 1 months ago
Learning executable agent behaviors from observation
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Char...
AVSS
2009
IEEE
14 years 19 days ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
AAAI
2008
13 years 11 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
AIIDE
2008
13 years 11 months ago
Simulation-Based Story Generation with a Theory of Mind
Emergent narrative refers to simulation-based systems in which stories emerge from the autonomous interactions among character agents and/or the human player. Despite its advantag...
Paul Hsueh-Min Chang, Von-Wun Soo
AIPR
2008
IEEE
13 years 11 months ago
Full body tracking using an agent-based architecture
We present an agent-based full body tracking and 3D animation system to generate motion data using stereo calibrated cameras. The novelty of our approach is that agents are bound t...
Bing Fang, Liguang Xie, Pak-Kiu Chung, Yong Cao, F...