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AAAI
2010
15 years 5 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
AAAI
1996
15 years 5 months ago
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes
Most model-based diagnosis systems, such as GDE and Sherlock, have concerned discrete, static systems such as logic circuits and use simple constraint propagation to detect incons...
Siddarth Subramanian, Raymond J. Mooney
CSE
2009
IEEE
15 years 7 months ago
Development and Validation of an Agent-Based Simulation Model of Juvenile Delinquency
This paper describes the development and validation of a dynamic multi-agent model to simulate social learning of adolescence-limited criminal behaviour. The parameters of the age...
Tibor Bosse, Charlotte Gerritsen, Michel C. A. Kle...
IROS
2008
IEEE
125views Robotics» more  IROS 2008»
15 years 10 months ago
Dynamic correlation matrix based multi-Q learning for a multi-robot system
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
Hongliang Guo, Yan Meng
AAAI
2006
15 years 5 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh