Cited by 76Game Theory and ApplicationsReinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Conjectural Equilibrium in Multiagent Learning

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Wellman, Michael P., Hu, Junling·1998·Machine Learning

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3 of the 46 references couldn’t be matched to a known paper.

Research works printed but not linked: 6

  1. Cliff, D. (1998). Evolving parameter sets for adaptive trading agents in continuous double-auction markets. Agents-98 Workshop on Artificial Societies and Computational Markets, (pp. 38-47). Minneapolis, MN.
  2. Fudenberg, D. & Tirole, J. (1991). Game Theory. MIT Press.
  3. Grefenstette, J.J., et al. (Eds.). (1996). AAAI Spring Symposium on Adaptation, Coevolution, and Learning in Multiagent Systems. AAAI Press.
  4. Hahn, F.H. (1977). Exercises in conjectural equilibrium analysis. Scandinavian Journal of Economics, 79, 210-226.
  5. Ono, N. & Fukumoto, K. (1996). Multi-agent reinforcement learning: A modular approach. Second International Conference on Multiagent Systems, (pp. 252-258). Kyoto, Japan.
  6. Sen, S. (Ed.). (1997). AAAI-97 Workshop on Multiagent Learning. AAAI Press.

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Authors
Wellman, M. P., & Hu, J.
Affiliations
University of Michigan (US)
Venue
Machine Learning
Published
1998-11
Volume
33
Issue
2-3
Pages
179-200
ISSN
  • 0885-6125 (ISSN-L)
  • 1573-0565
OpenAlex
W2117138095
Cited by
75
References
46
Citations by year
2023: 1 · 2021: 1 · 2019: 1 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 4 · 2013: 4 · 2012: 4
FWCI
8.21
Type
journal article
Language
en
Open access
Locations
  • Machine Learning (publishedVersion)
  • Deep Blue (University of Michigan) (submittedVersion)
Funders
National Science Foundation
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
  • Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
Keywords
multi-agent learning, strategic learning, competitive behavior, convergence

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