Function Approximation in Reinforcement Learning Geo Gordon [removed]

First Page		Document Content
Date: 2010-03-09 09:54:09 TD-Gammon Barcodes Games Backgammon Reinforcement learning		Function Approximation in Reinforcement Learning Geo Gordon [removed] Add to Reading List Source URL: www.cs.cmu.edu Download Document from Source Website File Size: 620,11 KB Share Document on Facebook

	Reinforcement Learning Techniques in ’Jumper’ MITCHELL BRUNTON and SHAANAN N. COHNEY University of Melbourne General Terms: Machine Learning, Jumper DocID: 1mfl0 - View Document
	Coevolution of a Backgammon Player Jordan B. Pollack & Alan D. Blair Computer Science Department Volen Center for Complex Systems Brandeis University Waltham, MA 02254 DocID: 18P9t - View Document
	Machine Learning for Prediction and Control Gregory Galperin and Paul Viola Learning & Vision Group Artificial Intelligence Laboratory Massachusetts Institue Of Technology DocID: 18N0Q - View Document
	Cliff, D. and Miller, GTracking the red queen: Measurements of adaptive progress in co-evolutionary simulations. In Third European Conference on Artificial Life, pages 200–218. Crites, R. and Barto, A) DocID: 17vxp - View Document
	TD-Gammon, A Self-teaching Backgammon Program, Achieves Master-Level Play DocID: 14aDp - View Document