Ann Math Artif Intell DOI[removed]s10472[removed]A unifying learning framework for building artificial game-playing agents Wenlin Chen · Yixin Chen · David K. Levine - Reinforcement theory - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2015-02-11 05:55:08 Science Best response Normal-form game Nash equilibrium Repeated game Strategy Reinforcement learning Machine learning Outcome Game theory Problem solving Economics		Ann Math Artif Intell DOI[removed]s10472[removed]A unifying learning framework for building artificial game-playing agents Wenlin Chen · Yixin Chen · David K. Levine Add to Reading List Source URL: levine.sscnet.ucla.edu Download Document from Source Website File Size: 967,11 KB Share Document on Facebook

	DEFINABLE AND CONTRACTIBLE CONTRACTS MICHAEL PETERS AND BALZS SZENTES Abstract. This paper analyzes a normal form game in which players write contracts that condition their actions on the contracts of the other players. DocID: 1v3xS - View Document
	Chapter Three: Static Games* Game-theoretic modeling often begins with the simplest of structures, either in extensive or in normal form. Such simple structures are meant to define the players, their available actions an DocID: 1roEf - View Document
	Strategic Sophistication of Adolescents: Evidence from Experimental Normal-Form Games DocID: 1rmOS - View Document
	Sophisticated Experience-weighted Attraction Learning and Strategic Teaching in Repeated Games DocID: 1r4Kn - View Document
	CHARACTERISING EQUILIBRIUM SELECTION IN GLOBAL GAMES WITH STRATEGIC COMPLEMENTARITIES CHRISTIAN BASTECK*,◦ ◦ ¨ • DocID: 1qLYq - View Document