Attainability of Boundary Points under Reinforcement Learning
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- is not listed on IDEAS
- Beggs, Alan, 2022.
"Reference points and learning,"
Journal of Mathematical Economics, Elsevier, vol. 100(C).
- Alan Beggs, 2015. "Reference Points and Learning," Economics Series Working Papers 767, University of Oxford, Department of Economics.
- Schuster, Stephan, 2010. "Network Formation with Adaptive Agents," MPRA Paper 27388, University Library of Munich, Germany.
- Oyarzun, Carlos & Ruf, Johannes, 2014. "Convergence in models with bounded expected relative hazard rates," Journal of Economic Theory, Elsevier, vol. 154(C), pages 229-244.
- Naoki Funai, 2019. "Convergence results on stochastic adaptive learning," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 68(4), pages 907-934, November.
- Georgios Chasparis & Jeff Shamma & Anders Rantzer, 2015. "Nonconvergence to saddle boundary points under perturbed reinforcement learning," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(3), pages 667-699, August.
- Panayotis Mertikopoulos & William H. Sandholm, 2016. "Learning in Games via Reinforcement and Regularization," Mathematics of Operations Research, INFORMS, vol. 41(4), pages 1297-1324, November.
- Ianni, Antonella, 2014.
"Learning strict Nash equilibria through reinforcement,"
Journal of Mathematical Economics, Elsevier, vol. 50(C), pages 148-155.
- Ianni, Antonella, 2011. "Learning Strict Nash Equilibria through Reinforcement," MPRA Paper 33936, University Library of Munich, Germany.
- Hopkins, Ed, 2007.
"Adaptive learning models of consumer behavior,"
Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 348-368.
- Ed Hopkins, 2002. "Adaptive Learning Models of Consumer Behaviour," Edinburgh School of Economics Discussion Paper Series 80, Edinburgh School of Economics, University of Edinburgh.
- Ed Hopkins, 2006. "Adaptive Learning Models of Consumer Behaviour," Levine's Bibliography 122247000000000658, UCLA Department of Economics.
- Ed Hopkins, 2004. "Adaptive Learning Models of Consumer Behaviour," Edinburgh School of Economics Discussion Paper Series 121, Edinburgh School of Economics, University of Edinburgh, revised Nov 2004.
- Ed Hopkins, 2010. "Adaptive Learning Models of Consumer Behaviour," Levine's Working Paper Archive 506439000000000346, David K. Levine.
- Erik Mohlin & Robert Ostling & Joseph Tao-yi Wang, 2014. "Learning by Imitation in Games: Theory, Field, and Laboratory," Economics Series Working Papers 734, University of Oxford, Department of Economics.
- Mario Bravo & Mathieu Faure, 2013.
"Reinforcement Learning with Restrictions on the Action Set,"
AMSE Working Papers
1335, Aix-Marseille School of Economics, France, revised 01 Jul 2013.
- Mario Bravo & Mathieu Faure, 2015. "Reinforcement Learning with Restrictions on the Action Set," Post-Print hal-01457301, HAL.
- Fudenberg, Drew & Takahashi, Satoru, 2011.
"Heterogeneous beliefs and local information in stochastic fictitious play,"
Games and Economic Behavior, Elsevier, vol. 71(1), pages 100-120, January.
- Drew Fudenberg & Satoru Takahashi, 2008. "Heterogeneous Beliefs and Local Information in Stochastic Fictitious Play," Levine's Working Paper Archive 122247000000001695, David K. Levine.
- Takahashi, Satoru & Fudenberg, Drew, 2011. "Heterogeneous beliefs and local information in stochastic fictitious play," Scholarly Articles 27755310, Harvard University Department of Economics.
- Oyarzun, Carlos & Sarin, Rajiv, 2013.
"Learning and risk aversion,"
Journal of Economic Theory, Elsevier, vol. 148(1), pages 196-225.
- Carlos Oyarzun & Rajiv Sarin, 2005. "Learning and Risk Aversion," Levine's Bibliography 784828000000000482, UCLA Department of Economics.
- Carlos Oyarzun & Rajiv Sarin, 2012. "Learning and Risk Aversion," Levine's Working Paper Archive 786969000000000572, David K. Levine.
- Leslie, David S. & Collins, E.J., 2006. "Generalised weakened fictitious play," Games and Economic Behavior, Elsevier, vol. 56(2), pages 285-298, August.
- Antonio Morales, 2005. "On the Role of the Group Composition for Achieving Optimality," Annals of Operations Research, Springer, vol. 137(1), pages 387-397, July.
- Josephson, Jens, 2008.
"A numerical analysis of the evolutionary stability of learning rules,"
Journal of Economic Dynamics and Control, Elsevier, vol. 32(5), pages 1569-1599, May.
- Josephson, Jens, 2001. "A Numerical Analysis of the Evolutionary Stability of Learning Rules," SSE/EFI Working Paper Series in Economics and Finance 474, Stockholm School of Economics.
- Pierre Coucheney & Bruno Gaujal & Panayotis Mertikopoulos, 2015. "Penalty-Regulated Dynamics and Robust Learning Procedures in Games," Mathematics of Operations Research, INFORMS, vol. 40(3), pages 611-633, March.
- Han, Jungsuk & Sangiorgi, Francesco, 2018.
"Searching for information,"
Journal of Economic Theory, Elsevier, vol. 175(C), pages 342-373.
- Han, Jungsuk & Sangiorgi, Francesco, 2015. "Searching for Information," Working Paper Series 300, Sveriges Riksbank (Central Bank of Sweden).
- Duffy, John & Hopkins, Ed, 2005.
"Learning, information, and sorting in market entry games: theory and evidence,"
Games and Economic Behavior, Elsevier, vol. 51(1), pages 31-62, April.
- John Duffy & Ed Hopkins, 2001. "Learning, Information and Sorting in Market Entry Games: Theory and Evidence," Edinburgh School of Economics Discussion Paper Series 78, Edinburgh School of Economics, University of Edinburgh.
- John Duffy & Ed Hopkins, 2010. "Learning, Information and Sorting in Market Entry Games: Theory and Evidence," Levine's Working Paper Archive 506439000000000355, David K. Levine.
- Martino Banchio & Giacomo Mantegazza, 2022. "Artificial Intelligence and Spontaneous Collusion," Papers 2202.05946, arXiv.org, revised Sep 2023.
- Izquierdo, Luis R. & Izquierdo, Segismundo S. & Gotts, Nicholas M. & Polhill, J. Gary, 2007. "Transient and asymptotic dynamics of reinforcement learning in games," Games and Economic Behavior, Elsevier, vol. 61(2), pages 259-276, November.
- Georgios Chasparis & Jeff Shamma, 2012. "Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation," Dynamic Games and Applications, Springer, vol. 2(1), pages 18-50, March.
- Conor Mayo-Wilson & Kevin Zollman & David Danks, 2013. "Wisdom of crowds versus groupthink: learning in groups and in isolation," International Journal of Game Theory, Springer;Game Theory Society, vol. 42(3), pages 695-723, August.
- Funai, Naoki, 2022. "Reinforcement learning with foregone payoff information in normal form games," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 638-660.
- Jacques Durieu & Philippe Solal, 2012.
"Models of Adaptive Learning in Game Theory,"
Chapters, in: Richard Arena & Agnès Festré & Nathalie Lazaric (ed.), Handbook of Knowledge and Economics, chapter 11,
Edward Elgar Publishing.
- Jacques Durieu & Philippe Solal, 2012. "Models of adaptive learning in game theory," Post-Print halshs-00667674, HAL.
- Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
Printed from https://ideas.repec.org/r/edn/esedps/79.html