Evolutionary Feature Evaluation for Online Reinforcement Learning

First Page		Document Content
Date: 2016-07-12 12:05:04 Cognitive science Cognition Artificial intelligence Machine learning Belief revision Reinforcement learning Temporal difference learning Q-learning Feature selection Supervised learning Proto-value functions Action selection		Evolutionary Feature Evaluation for Online Reinforcement Learning Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Download Document from Source Website File Size: 465,79 KB Share Document on Facebook

	UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Minimality Criteria in Spatial Belief Revision DocID: 1vgQg - View Document
	Belief revision generalized: A joint characterization of Bayes’s and Je¤rey’s rules Franz Dietrich, Christian List, and Richard Bradley1 October 2010, …nal version DecemberAbstract DocID: 1v4RW - View Document
	Argumentation and Data-oriented Belief Revision: On the Two-Sided Nature of Epistemic Change a Fabio Paglieri and Cristiano Castelfranchi Abstract. This paper aims to bring together two separate threads in the DocID: 1unfw - View Document
	Changing Minds About Climate Change: Belief Revision, Coherence, and Emotion Paul Thagard and Scott Findlay University of Waterloo Thagard, P., & Findlay, S. (forthcoming). Changing minds about climate change: Belief rev DocID: 1t2Qt - View Document
	Advances in Cognitive Systems–122 Submitted; publishedReasoning About Belief Revision to Change Minds: A Challenge for Cognitive Systems DocID: 1t02Q - View Document