Reinforcement Learning State Aggregation
Reinforcement Learning State Aggregation is a method in reinforcement learning that partitions the state space into aggregates or groups of states to reduce complexity by generalizing value estimates across states within the same aggregate, thereby improving learning efficiency and scalability.
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1.3K
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2017–2026
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Reinforcement Learning with Soft State Aggregation
Satinder Singh, Tommi Jaakkola, Michael I. Jordan · 1994 · 269 citations
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The University of Texas at Arlington
Arlington, United States
1 h-index
2 publications
34 citations
National Chung Cheng University
Minxiong, Taiwan
1 h-index
1 publications
34 citations

Indian Institute of Technology Madras
Chennai, India
1 h-index
1 publications
27 citations
Oregon State University
Corvallis, United States
1 h-index
3 publications
108 citations
Shandong Institute of Automation
Jinan, China
1 h-index
2 publications
158 citations
Rutgers Sexual and Reproductive Health and Rights
Utrecht, Netherlands
1 h-index
3 publications
810 citations

Kyoto University
Kyoto, Japan
1 h-index
1 publications
16 citations

Tata Institute of Fundamental Research
Mumbai, India
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1 publications
26 citations
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Repository · 5 publications · 151 citations
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Conference · 1 publications · 36 citations
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Repository · 1 publications · 11 citations
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