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Reinforcement learning
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191	© 2005 Nature Publishing Group http://www.nature.com/natureneuroscience ARTICLES CO M P U TATI O N A N D SYST E M S Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2008-01-10 16:25:27 Cerebrum Behaviorism Neuroanatomy Computational neuroscience Learning Prefrontal cortex Orbitofrontal cortex Q-learning Reinforcement learning Reinforcement Artificial neural network Operant conditioning
192	Journal of Economic Theory – 198 www.elsevier.com/locate/jet Self-tuning experience weighted attraction learning in games夡 Teck H. Hoa,∗ , Colin F. Camererb , Juin-Kuan Chongc, d Add to Reading List Source URL: people.hss.caltech.edu Language: English - Date: 2007-09-04 15:38:46 Game theory Quantal response equilibrium Experimental economics Best response Outcome Coordination game Reinforcement learning Risk dominance
193	Natural Temporal Difference Learning Add to Reading List Source URL: psthomas.com Language: English - Date: 2014-11-06 09:18:20 Smooth functions Distribution Functional analysis Reinforcement learning Linear temporal logic
194	Language Change and the Force of Innovation Roland M¨ uhlenbernd1 and Jonas David Nick2 1 2 Add to Reading List Source URL: www.sfs.uni-tuebingen.de Language: English - Date: 2014-05-09 15:45:31 Game theory Asymmetric information Signaling game Signaling Signalling System No. 7 Cell signaling Reinforcement learning Communication Reinforcement
195	Mastering the Game of Go with Deep Neural Networks and Tree Search David Silver1 , Aja Huang1 , Chris J. Maddison1 , Arthur Guez1 , Laurent Sifre1 , George van den Driessche1 , Julian Schrittwieser1 , Ioannis Antonoglo Add to Reading List Source URL: gogameguru.com Language: English - Date: 2016-03-04 05:06:20 Machine learning Computer Go Computational neuroscience Artificial intelligence Go software AlphaGo Convolutional neural network Monte Carlo tree search Reinforcement learning Artificial neural network Monte Carlo method Google DeepMind
196	Multi-Agent Ad Hoc Team Partitioning by Observing and Modeling Single-Agent Performance Etkin Baris Ozgul∗ , Somchaya Liemhetcharat† , and Kian Hsiang Low∗ ∗ Department of Computer Science, National University o Add to Reading List Source URL: somchaya.org Language: English - Date: 2014-12-21 21:40:58 NP-complete problems Partition problem Partition Reinforcement learning Algorithm Agent-based model Multi-agent system Graph partition Loop tiling
197	doi:j.conb Add to Reading List Source URL: brembs.net Language: English - Date: 2013-05-10 15:31:54 Behaviorism Learning Aplysia Aplysiidae Developmental psychology Mushroom bodies Operant conditioning Conditioning Extinction Reinforcement Lymnaea stagnalis Classical conditioning
198	Microsoft Word - Final Paper v3.docx Add to Reading List Source URL: psthomas.com Language: English - Date: 2013-11-16 15:52:50 Muscular system Control theory Control engineering PID controller Functional electrical stimulation Neuroprosthetics Reinforcement learning Muscle contraction Biceps
199	Incentive Compatibility of Bitcoin Mining Pool Reward Functions Okke Schrijvers, Joseph Bonneau, Dan Boneh, and Tim Roughgarden Stanford University Abstract. In this paper we introduce a game-theoretic model for reward Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-02-14 00:07:23 Bitcoin Cryptocurrencies Mining pool Reinforcement learning
200	Inverse Reinforcement Learning through Structured Classification Edouard Klein1,2 LORIA – team ABC Nancy, France Add to Reading List Source URL: www.ilhaire.eu Language: English - Date: 2012-12-24 07:54:32 Statistical classification Dynamic programming Stochastic control Computational neuroscience Reinforcement learning Loss function Markov decision process Artificial neural network Support vector machine Expected value Valuation Stochastic programming

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