Efficient agents for cliff-edge environments with a large set of decision options
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[1] Werner Güth,et al. From Ultimatum Bargaining to Dictatorship—an Experimental Study of Four Games Varying in Veto Power , 1997 .
[2] T. Brenner,et al. On the Behavior of Proposers in Ultimatum Games , 2003 .
[3] J. Morgan,et al. An Analysis of the War of Attrition and the All-Pay Auction , 1997 .
[4] Steven O. Kimbrough,et al. Cooperative Agent Systems: Artificial Agents Play the Ultimatum Game , 2002 .
[5] Nicholas R. Jennings,et al. Decision procedures for multiple auctions , 2002, AAMAS '02.
[6] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[7] A. Roth,et al. Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term* , 1995 .
[8] Ya'akov Gal,et al. Learning Social Preferences in Games , 2004, AAAI.
[9] Nicholas R. Jennings,et al. Sequential auctions for objects with common and private values , 2005, AAMAS '05.
[10] Brit Grosskopf. Reinforcement and Directional Learning in the Ultimatum Game with Responder Competition , 2003 .
[11] Peter M. Todd,et al. Designing Socially Intelligent Agents For The Ultimatum Game , 1997 .
[12] Pattie Maes,et al. Dynamic pricing strategies under a finite time horizon , 2001, EC '01.
[13] Benoît Leloup,et al. Dynamic Pricing on the Internet: Theory and Simulations , 2001, Electron. Commer. Res..
[14] Lars Niklasson,et al. An Adaptive 'Rock, Scissors and Paper' Player Based on a Tapped Delay Neural Network , 2001 .
[15] Nicolaas J. Vriend,et al. Will reasoning improve learning , 1997 .
[16] Steven O. Kimbrough,et al. Cooperative Agent Systems: Artificial Agents Play the Ultimatum Game , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.