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Reinforcement theory
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#	Item
61	Reinforcement Learning in Multi-agent Games A value iteration perspective Michael Kaisers March 15, 2008 Abstract Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:01:24 Artificial intelligence Nash equilibrium Q-learning Best response Coordination game Strategic dominance Reinforcement learning Learning automata Outcome Game theory Problem solving Science
62	Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach Michael Kaisers and Karl Tuyls Maastricht University, P.O. Box 616, 6200 MD Maastricht Abstract. Today’s society is largely connected and many real Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:03:37 Evolutionary game theory Replicator equation Reinforcement learning Dynamics Dynamical system Differential equation Learning automata Machine learning Evolutionary biology Evolutionary dynamics Game theory
63	Replicator Dynamics for Multi-agent Learning An Orthogonal Approach Michael Kaisers Maastricht University, P.O. Box 616, 6200 MD Maastricht August 28, 2009 Abstract Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:02:00 Evolutionary dynamics Science Replicator equation Reinforcement learning Dynamics Learning automata Evolutionarily stable strategy Dynamical system Q-learning Game theory Evolutionary biology Evolutionary game theory
64	Games and Learning in Auctions Michael Kaisers Games and Learning in Auctions Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:01:40 Algorithm Reinforcement learning Auction Science Applied mathematics Mathematics Game theory Evolutionary game theory Normal-form game
65	Propositions Accompanying the dissertation “Learning against Learning – Evolutionary Dynamics of Reinforcement Learning Algorithms in Strategic Interactions” by Michael Kaisers 1. Frequency Adjusted Q-learning conv Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2014-01-19 16:28:15 Replicator equation Swarm intelligence Q-learning Mathematical optimization Machine learning Mathematics Learning Artificial intelligence Game theory Reinforcement learning
66	Journal of Artificial Intelligence Research Submitted 3/13; publishedA Survey of Multi-Objective Sequential Decision-Making Diederik M. Roijers Add to Reading List Source URL: jair.org Language: English - Date: 2013-10-18 15:20:49 Systems theory Mathematical optimization Operations research Equations Stochastic control Reinforcement learning Markov decision process Bellman equation Policy Statistics Control theory Dynamic programming
67	Monte Carlo Value Iteration with Macro-Actions Zhan Wei Lim David Hsu Wee Sun Lee Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-11-09 00:33:14 Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Markov decision process Reinforcement learning Macro Algorithm Statistics Dynamic programming Markov processes
68	doi:j.geb Add to Reading List Source URL: www.luis.izqui.org Language: English - Date: 2009-07-31 18:02:39 Behavior Artificial intelligence Game theory Markov chain Reinforcement learning Asymptotic analysis Reinforcement Power law Psychology Markov models Statistics Science
69	The El Farol Bar Problem as an Iterated N-Person Game Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2013-06-19 13:03:42 Multi-agent systems El Farol Bar problem Rational choice theory Economics Agent-based model Reinforcement learning Knowledge Game theory Science Artificial intelligence
70	T H E B E H A V I O R A N A L Y S T Add to Reading List Source URL: www.actmindfully.com.au Language: English - Date: 2009-02-28 16:40:28 Behavior Relational frame theory Verbal Behavior Operant conditioning Fear Language acquisition Classical conditioning Emotion Reinforcement Behaviorism Philosophy of mind Mind