The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Stochastic Games
Open accessAbstract
Understanding the biological basis of social anxiety disorder (SAD), one of the most disabling of the anxiety disorders, will allow for novel treatment strategies to be developed. Here, we show that gut microbiota may be such a target. Mice ...Social anxiety disorder (SAD) is a crippling psychiatric disorder characterized by intense fear or anxiety in social situations and their avoidance. However, the underlying biology of SAD is unclear and better treatments are needed. Recently, the gut ...
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Citations
Cites
On the theory of dynamic programming
Bellman, R. (1952) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.38.8.716 · Cited by 998
Contributions to the Theory of Games (AM-28), Volume II
(1953) · Princeton University Press eBooks · doi:10.1515/9781400881970 · Cited by 260
Research works printed but not linked: 2
- von Neumann J. Ergebnisse eines Math. Kolloquiums 8 73–83 (1937). · doi:10.1524/teme.1937.7384.jg.159
- Loomis L. H. these P roceedings 32 213–215 (1946). · doi:10.1073/pnas.32.8.213
Cited by
Multiagent systems: algorithmic, game-theoretic, and logical foundations
(2009) · Choice Reviews Online · doi:10.5860/choice.46-5662 · Cited by 1,756
Multi-agent deep reinforcement learning: a survey
Gronauer, S., & Diepold, K. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-021-09996-w · Cited by 957
The complexity of stochastic games
Condon, A. (1992) · Information and Computation · doi:10.1016/0890-5401(92)90048-k · Cited by 517
Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial
Feriani, A., & Hossain, E. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3063822 · Cited by 410
Markov Decision Processes with Applications to Finance
Bäuerle, N., & Rieder, U. (2011) · Universitext · doi:10.1007/978-3-642-18324-9 · Cited by 398
Metadata
- Authors
- Shapley, L. S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1953-10
- Volume
- 39
- Issue
- 10
- Pages
- 1095-1100
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2575731723
- Cited by
- 2,382
- References
- 2
- FWCI
- 10.14
- Type
- journal article
- Language
- en
- Open access
- green
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- Shapley, L. S. (1953). Stochastic Games. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.39.10.1095
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
