Optimistic Initialization
Optimistic Initialization is a reinforcement learning strategy that initializes action-value estimates at higher-than-actual values to encourage early exploration by biasing selection toward less-chosen actions.
7
Publications
180
Citations
23
Authors
13
Institutions
Publications per year
2017–2026
3
7
Lei Xi, Haokai Li, Jizhong Zhu et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 45 citations
Convergence of Optimistic and Incremental Q-Learning
Eyal Even-Dar, Yishay Mansour · 2001 · 41 citations
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Tianjin University
Tianjin, China
1 h-index
1 publications
45 citations

Eötvös Loránd University
Budapest, Hungary
1 h-index
1 publications
21 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
1 publications
18 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
21 citations
University of Oxford
Oxford, United Kingdom
1 h-index
4 publications
52 citations
New York University
New York, United States
1 h-index
1 publications
17 citations

University of Alberta
Edmonton, Canada
1 h-index
2 publications
36 citations

China Three Gorges University
Yichang, China
1 h-index
3 publications
135 citations
1–8 of 13
Repository · 3 publications · 48 citations
3
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1 publications · 45 citations
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1 publications · 25 citations
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TG · 1 publications · 10 citations
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