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» Learning Models of Intelligent Agents
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108
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ATAL
2004
Springer
15 years 6 months ago
Desires, Norms and Constraints
This paper deals with modeling mental states of a rational agent, in particular states based on agent’s desires. It shows that the world the agent belongs to forces it to restri...
Laurence Cholvy, Christophe Garion
115
Voted
ATAL
2000
Springer
15 years 5 months ago
An Architectural Framework for Integrated Multiagent Planning, Reacting, and Learning
Abstract. Dyna is a single-agent architectural framework that integrates learning, planning, and reacting. Well known instantiations of Dyna are Dyna-AC and Dyna-Q. Here a multiage...
Gerhard Weiß
AAAI
2008
15 years 3 months ago
Learning to Identify Reduced Passive Verb Phrases with a Shallow Parser
Our research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g., &q...
Sean Igo, Ellen Riloff
104
Voted
AAAI
2006
15 years 2 months ago
Learning Representation and Control in Continuous Markov Decision Processes
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
Sridhar Mahadevan, Mauro Maggioni, Kimberly Fergus...
AAAI
1998
15 years 2 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore