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Reinforcement learning
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111	A Methodology for the Improvement of Reinforcement Learning Ike Antkaretoo International Institute of Technology United Slates of Earth Add to Reading List Source URL: membres-lig.imag.fr - Date: 2014-01-09 04:24:29
112	Online Development of Assistive Robot Behaviors for Collaborative Manipulation and Human-Robot Teamwork Bradley Hayes and Brian Scassellati Yale University Computer Science Department New Haven, CT 06511 Add to Reading List Source URL: bradhayes.info Language: English - Date: 2016-07-11 15:51:28 Artificial intelligence Robotics Dynamic programming Markov processes Stochastic control Machine learning Probability theory Probability Partially observable Markov decision process Humanoid robot Reinforcement learning Humanrobot interaction
113	Improving Reading Rate of Low Performers by Siegfried Engelmann Trying to improve the reading rate of very low performers can be a frustrating experience for both learner and teacher. The learner typically knows that the Add to Reading List Source URL: zigsite.com Language: English - Date: 2013-03-12 16:43:34 Education Educational psychology Academia Learning Behaviorism Applied linguistics Orthography Writing systems Reinforcement Reading Practice
114	IFAAMAS Board Elections 2016 Statement Bio Matthijs Spaan is an assistant professor of Computer Science at Delft University of Technology, the Netherlands. He holds a PhD degree in Computer Scienceand an MSc degr Add to Reading List Source URL: www.aamas-conference.org Language: English - Date: 2016-03-14 20:09:09 Artificial intelligence Systems science Academia International Conference on Autonomous Agents and Multiagent Systems Reinforcement learning International Joint Conference on Artificial Intelligence Agent-based model Partially observable Markov decision process Multi-agent system Intelligent agent Peter Stone
115	Model-Free Imitation Learning with Policy Optimization Jonathan Ho Jayesh K. Gupta Stefano Ermon Stanford University Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-07-20 01:41:08 Applied mathematics Statistics Numerical analysis Computational statistics Machine learning Cybernetics Apprenticeship learning Reinforcement learning Artificial neural network Mathematical optimization Loss function Sine
116	Learning to Search Better than Your Teacher Kai-Wei Chang KCHANG 10@ ILLINOIS . EDU Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2015-05-20 20:38:23 Belief revision Reinforcement learning Loss function Algorithm Mathematical optimization Logic Applied mathematics Mathematics
117	Chapter 1 Introduction The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays, waves its arms, or looks about, it Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2007-01-10 02:39:32 Cognition Psychology Academia Behaviorism Educational psychology Belief revision Reinforcement learning Computational neuroscience Reinforcement Markov decision process Machine learning Learning
118	Avoiding Wireheading with Value Reinforcement Learning1 Tom Everitt tomeveritt.se Australian National University Add to Reading List Source URL: intelligence.org Language: English - Date: 2016-06-10 18:01:45 Artificial intelligence Psychology Learning Machine learning Behaviorism Belief revision Reinforcement learning Apprenticeship learning Marcus Hutter Intelligence Intelligent agent Reinforcement
119	Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling Goal-Based Action Priors David Abel, D. Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O’Farrell, James Mac Add to Reading List Source URL: h2r.cs.brown.edu Language: English - Date: 2016-03-28 19:05:32 Cognitive science Artificial intelligence Automated planning and scheduling Probability Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Motion planning Action selection Prior probability
120	Machine Learning Recap of main issues/phases Phases/problems in designing a ML algorithm •  Add to Reading List Source URL: twiki.di.uniroma1.it Language: English - Date: 2016-02-12 09:34:25 Machine learning Artificial intelligence Learning Cognition Unsupervised learning Supervised learning Reinforcement learning Learning classifier system

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