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» Reinforcement Belief Revision
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AUSAI
2008
Springer
13 years 9 months ago
Clustering with XCS on Complex Structure Dataset
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
Liangdong Shi, Yang Gao, Lei Wu, Lin Shang
AMAI
2004
Springer
14 years 29 days ago
A Framework for Sequential Planning in Multi-Agent Settings
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
Piotr J. Gmytrasiewicz, Prashant Doshi
CSL
2012
Springer
12 years 3 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Filip Jurcícek, Blaise Thomson, Steve Young
ICMLA
2010
13 years 4 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
ATAL
2008
Springer
13 years 9 months ago
Goal generation with relevant and trusted beliefs
A rational agent adopts (or changes) its goals when new information (beliefs) becomes available or its desires (e.g., tasks it is supposed to carry out) change. In conventional ap...
Célia da Costa Pereira, Andrea Tettamanzi