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» Using Learning in a Control Agent
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AAAI
2006
13 years 9 months ago
Controlled Search over Compact State Representations, in Nondeterministic Planning Domains and Beyond
Two of the most efficient planners for planning in nondeterministic domains are MBP and ND-SHOP2. MBP achieves its efficiency by using Binary Decision Diagrams (BDDs) to represent...
Ugur Kuter, Dana S. Nau
AAAI
2010
13 years 9 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
GAMEON
2007
13 years 9 months ago
Agent Based Virtual Tutorship and E-Learning Techniques Applied to a Business Game Built on System Dynamics
An advanced Business Game is presented in the paper, built on the methodology of System Dynamics. It can be used for cognitive learning and knowledge transmission in schools and U...
Marco Remondino
TSMC
2008
177views more  TSMC 2008»
13 years 6 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
IAT
2008
IEEE
14 years 2 months ago
An Agent Memory Model Enabling Rational and Biased Reasoning
This paper presents an architecture for a memory model that facilitates versatile reasoning mechanisms over the beliefs stored in an agent’s belief base. Based on an approach fo...
Annerieke Heuvelink, Michel C. A. Klein, Jan Treur