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A two-armed bandit theory of market pricing
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“Following seminal research on modeling pricing in markets as a bandit problem [700], many works have applied bandit and other RL algorithms to determine prices or other market values.”
From Tackling climate change with machine learning (2023) · cites this paper as [700]
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Metadata
- Authors
- Rothschild, M.
- Affiliations
- Princeton University (US)
- Corresponding author
- Rothschild, Michael
- Venue
- Journal of Economic Theory
- Publisher
- Elsevier BV
- Published
- 1974-10
- Volume
- 9
- Issue
- 2
- Pages
- 185-202
- ISSN
- 0022-0531 (ISSN-L)
- OpenAlex
- W2045097767
- Cited by
- 618
- References
- 19
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 16 · 2023: 9 · 2022: 23 · 2021: 15 · 2020: 17 · 2019: 23 · 2018: 24 · 2017: 24 · 2016: 31 · 2015: 22 · 2014: 23 · 2013: 23 · 2012: 17
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Economic Theory (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Advanced Bandit Algorithms Research
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
- Keywords
- two-armed bandit, market pricing, effort provision, belief updating, innate talent, effortful control, switching behavior, perseverance, procrastination, confidence, educational psychology
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