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Reinforcement learning
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151	Allocating Training Instances to Learning Agents that Improve Coordination for Team Formation Somchaya Liemhetcharat1 and Manuela Veloso2 1 Add to Reading List Source URL: somchaya.org Language: English - Date: 2014-09-25 23:11:01 Machine learning Artificial intelligence Learning Statistics Belief revision Reinforcement learning Algorithm Multi-armed bandit
152	Analytics-Driven Dynamic Game Adaption for Player Retention in Scrabble Brent Harrison David L. Roberts Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Gaming Game design Multiplayer games Tabletop games Learning Dynamic game difficulty balancing Reinforcement learning Artificial intelligence Scrabble Analytic Monopoly Gameplay
153	REINFORCEMENT LEARNING FOR LIVE MUSICAL AGENTS Nick Collins University of Sussex ABSTRACT Current research programmes in computer music may Add to Reading List Source URL: composerprogrammer.com Language: English - Date: 2014-05-01 12:44:10 Cognition Cognitive science Neuroscience Artificial intelligence Multi-agent systems Belief revision Reinforcement learning Computational neuroscience Sarsa Intelligent agent Reinforcement Anticipation
154	A BAYESIAN A PPROACH TO M ULTIAGENT R EINFORCEMENT L EARNING AND C OALITION F ORMATION UNDER U NCERTAINTY by Georgios Chalkiadakis Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2007-11-09 12:26:29 Game theory Statistics Science Systems science Mathematical economics Systems theory Statistical inference Reinforcement learning Non-cooperative game theory Agent-based model Core Cooperative game theory
155	Projected Natural Actor-Critic Philip S. Thomas, William Dabney, Sridhar Mahadevan, and Stephen Giguere School of Computer Science University of Massachusetts Amherst Amherst, MA 01003 Add to Reading List Source URL: psthomas.com Language: English - Date: 2013-11-10 12:06:12 Numerical analysis Numerical linear algebra Gradient descent Mathematical optimization Gradient method Reinforcement learning Artificial neural network Subgradient method
156	de Budgeted Classification-based Policy Iteration presented by Victor Gabillon Add to Reading List Source URL: victorgabillon.nfshost.com Language: English - Date: 2015-07-14 00:09:21 Mathematical analysis Mathematics Dynamic programming Markov processes Stochastic control Analysis Belief revision Reinforcement learning Markov decision process Iteration Pi Algorithm
157	Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan† ROCKYDUAN @ EECS . BERKELEY. EDU Xi Chen† C . XI @ EECS . BERKELEY. EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-07-20 01:41:07 Machine learning Applied mathematics Artificial intelligence Computational neuroscience Artificial neural networks Computational statistics Mathematical psychology Deep learning Reinforcement learning Recurrent neural network Q-learning Speech recognition
158	WCCI-2014 Tutorial Slow Feature Analysis for Curiosity-Driven Agents Matthew Luciw, Varun Raj Kompella and Juergen Schmidhuber Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:40 Artificial intelligence Learning Cognition Computational neuroscience Cybernetics Machine learning Robotics Dalle Molle Institute for Artificial Intelligence Research Artificial neural network Developmental robotics ICub Reinforcement learning
159	Bias in Natural Actor-Critic Algorithms Philip S. Thomas Department of Computer Science, University of Massachusetts, Amherst, MAUSA Add to Reading List Source URL: psthomas.com Language: English - Date: 2012-10-01 18:27:53 Statistics Statistical theory Estimation theory Dynamic programming Markov decision process Stochastic control Bias of an estimator Reinforcement learning Loss function Fisher information
160	Pradeep Reddy VARAKANTHAM 11 JunePradeep Reddy VARAKANTHAM School of Information Systems Add to Reading List Source URL: mercury.smu.edu.sg Language: English - Date: 2016-08-17 05:01:23 Artificial intelligence Systems science Computer science International Conference on Autonomous Agents and Multiagent Systems CALO Milind Tambe Sven Koenig Autonomous Agents and Multi-Agent Systems Katia Sycara Manuela M. Veloso Reinforcement learning Association for the Advancement of Artificial Intelligence

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