scientific article; zbMATH DE number 6276207

zbMath1433.68361MaRDI QIDQ5405216

Mohammad Ghavamzadeh, Rémi Munos, Alessandro Lazaric

Publication date: 1 April 2014

Full work available at URL: http://www.jmlr.org/papers/v13/lazaric12a.html

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zbMATH Keywords

Markov decision processesreinforcement learningleast-squares policy iterationgeneralization boundsfinite-sample analysisleast-squares temporal-difference

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Learning and adaptive systems in artificial intelligence (68T05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Markov and semi-Markov decision processes (90C40)

Related Items (7)

Policy space identification in configurable environments ⋮ Batch mode reinforcement learning based on the synthesis of artificial trajectories ⋮ A concentration bound for \(\operatorname{LSPE}( \lambda )\) ⋮ Offline reinforcement learning with task hierarchies ⋮ A Q-learning predictive control scheme with guaranteed stability ⋮ Concentration bounds for temporal difference learning with linear function approximation: the case of batch data and uniform sampling ⋮ Toward theoretical understandings of robust Markov decision processes: sample complexity and asymptotics

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