Long-run Average Cost
Long-Run Average Cost is a performance metric in Infinite-Horizon Markov Decision Processes that quantifies the expected average cost per time step accumulated over an infinite time horizon, distinguishing itself from discounted-cost criteria by focusing on sustained asymptotic behavior rather than time-discounted rewards.
396
Publications
19.5K
Citations
646
Authors
369
Institutions
Publications per year
2017–2026
48
Variants
Average Cost CriterionLong-run Average Cost Criterion
396
Avinash Dixit · The Journal of Economic Perspectives · 1992 · 995 citations · Full text
A note on the optimal replacement problem
Lam Yeh · Advances in Applied Probability · 1988 · 309 citations · Full text
Engineering, Industrial Engineering, Operations Management +16
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369
Columbia University
New York, United States
15 h-index
19 publications
1.9K citations

Cornell University
Ithaca, United States
14 h-index
21 publications
1.9K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
12 h-index
15 publications
745 citations

University of Toronto
Toronto, Canada
12 h-index
22 publications
1K citations
National University of Singapore
Singapore, Singapore
12 h-index
19 publications
829 citations

Southeast University
Nanjing, China
11 h-index
20 publications
765 citations

Chaoyang University of Technology
Taichung, Taiwan
9 h-index
21 publications
330 citations
University of California, Berkeley
Berkeley, United States
7 h-index
8 publications
255 citations
1–8 of 369
36 publications · 2.2K citations
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JAP · 36 publications · 1.2K citations
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23 publications · 1.3K citations
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20 publications · 2.4K citations
20
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15 publications · 686 citations
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