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Reinforcement theory
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31	Learning to Predict Trajectories of Cooperatively Navigating Agents Henrik Kretzschmar Markus Kuderer Abstract— The problem of modeling the navigation behavior Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2014-10-22 05:09:39 Statistics Probability Statistical theory Markov models Bayesian statistics Information theory Probability distribution Principle of maximum entropy Reinforcement learning Entropy Markov chain Mode
32	Cognitive Science–618 Copyright © 2014 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: cogsInferring Learners’ Knowledge From Their Ac Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2015-10-08 17:16:40 Dynamic programming Markov processes Stochastic control Cognitive science Probability theory Markov decision process Reinforcement learning Theory of mind Probability Psychology Cognition
33	Using Markov Decision Theory to Provide a Fair Challenge in a Roll-and-Move Board Game ´ Eric Beaudry, Francis Bisson, Simon Chamberland and Froduald Kabanza various means. For example, artificial players may have a Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-10 12:41:00 Dynamic programming Markov processes Mathematical optimization Mathematical analysis Probability theory Systems theory Operations research Equations Markov decision process Bellman equation Markov chain Reinforcement learning
34	Learning Policies for Contextual Submodular Prediction Stephane Ross Jiaji Zhou Yisong Yue Debadeepta Dey Add to Reading List Source URL: select.cs.cmu.edu Language: English Submodular set function Automatic summarization Statistical classification Number theory Support vector machine Machine learning Reinforcement learning Mathematical optimization Distribution
35	Social Learning Methods in Board Game Agents Vukosi N. Marivate, Student Member, Tshilidzi Marwala, Senior Member, IEEE this has on the overall performance of the different agents created. This paper focuses on improving Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:38 Cognitive science Cognition Artificial intelligence Academia Multi-agent systems Belief revision Complex systems theory Simulation Intelligent agent Reinforcement learning Q-learning Agent-based model
36	Learning and Knowledge Generation in General Games Shiven Sharma, Ziad Kobti, Scott Goodwin Abstract— General Game Playing (GGP) aims at developing game playing agents that are able to play a variety of games and in th Add to Reading List Source URL: www.csse.uwa.edu.au Language: English Machine learning Artificial intelligence Game artificial intelligence Applied mathematics Computational neuroscience Game theory Cybernetics Ant colony optimization algorithms General game playing Reinforcement learning Computer Go Q-learning
37	J. Fluid Mech), vol. 789, pp. 726–749. doi:jfmc Cambridge University Press 2016 Add to Reading List Source URL: www.mattiagazzola.com Language: English - Date: 2016-01-27 12:00:48 Fisheries Fluid dynamics Mathematical analysis Dipole Electromagnetism Potential theory Reinforcement learning Swarm behaviour Shoaling and schooling Vorticity Q-learning Markov decision process
38	History-Dependent Risk Aversion and the Reinforcement Effect∗ Gerelt Tserenjigmid† - Job Market Paper November 5, 2015 Add to Reading List Source URL: www.econ.vt.edu Language: English - Date: 2016-02-16 12:41:57 Economy Probability Finance Financial risk Utility Game theory Expected utility Probability theory Expected utility hypothesis Risk aversion Risk premium Stochastic dominance
39	Finite-Sample Analysis in Reinforcement Learning Mohammad Ghavamzadeh INRIA Lille – Nord Europe, Team SequeL Outline Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2011-12-05 01:35:36 Mathematics Dynamic programming Mathematical analysis Stochastic control Discrete mathematics Algebra Distribution Number theory Markov decision process Prime-counting function Mathematical optimization Projection-valued measure
40	INFORMS MATHEMATICS OF OPERATIONS RESEARCH Vol. 00, No. 0, Xxxxx 0000, pp. 000–000 issn 0364-765X \| eissn \| 00 \| 0000 \| 0001 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-03 20:28:24 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Stochastic simulation Loss function Bayes estimator Reinforcement learning Sampling Posterior probability Confidence interval

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