Transfer in variable-reward hierarchical reinforcement learning

DOI10.1007/s10994-008-5061-yzbMath1470.68147OpenAlexW2132057084MaRDI QIDQ1009300

Prasad Tadepalli, Alan Fern, Sriraam Natarajan, Neville Mehta

Publication date: 31 March 2009

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-008-5061-y

zbMATH Keywords

transfer learninghierarchical reinforcement learningaverage-reward learningmulti-criteria learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Markov and semi-Markov decision processes (90C40)

Related Items (1)

Cooperative learning with joint state value approximation for multi-agent systems

Cites Work

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• Planning and acting in partially observable stochastic domains
• Model-based average reward reinforcement learning
• Multi-objective infinite-horizon discounted Markov decision processes
• Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
• Constrained Markov Decision Models with Weighted Discounted Rewards
• Building Relational World Models for Reinforcement Learning

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