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Reinforcement learning
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451	Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons Hanna Kurniawati Singapore–MIT Alliance for Research Technology Singapore, Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-11-12 00:05:05 Stochastic control Partially observable Markov decision process Motion planning Automated planning and scheduling Markov decision process S0 Probabilistic roadmap Reinforcement learning Sampling Statistics Dynamic programming Markov processes
452	Journal of Articial Intelligence Research423 Submitted 2/02; published 6/02 The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models Add to Reading List Source URL: teamcore.usc.edu Language: English - Date: 2008-10-14 03:56:35 Stochastic control Multi-agent systems Partially observable Markov decision process Agent-based model Reinforcement learning Markov decision process Communication Statistics Dynamic programming Markov processes
453	Journal of Artificial Intelligence Research Submitted 8/08; published 2/09 Policy Iteration for Decentralized Control of Markov Decision Processes Add to Reading List Source URL: jair.org Language: English - Date: 2009-03-01 20:57:56 Markov processes Stochastic control Mathematical sciences Operations research Partially observable Markov decision process Markov decision process Reinforcement learning Mathematical optimization Algorithm Statistics Control theory Dynamic programming
454	Learning from Data. Introduction David Barber, with modifications by Amos Storkey Copyright David BarberCourse lecturer: Amos Storkey Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2005-09-26 06:22:54 Neural networks Artificial intelligence Computational neuroscience Formal sciences Perceptron Algorithm Supervised learning Mathematics Reinforcement learning Machine learning Science Cybernetics
455	A method to embed human knowledge to reinforcement learning method∗ Tatsuo Unemi† Dept. of Information Systems Science, Soka University, Japan October 5, 2000 Add to Reading List Source URL: www.intlab.soka.ac.jp Language: English - Date: 2000-09-26 11:26:15 Ethology Developmental psychology Educational psychology Machine learning Reinforcement learning Reinforcement Robotics Learning Reliability engineering Mind Psychology Behaviorism
456	Scott P. Sanner Contact Information Machine Learning Group NICTA and the Australian National University Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-12-02 20:19:48 Action selection Cyc Association for the Advancement of Artificial Intelligence Planner International Joint Conference on Artificial Intelligence European Conference on Artificial Intelligence Artificial intelligence Machine learning Reinforcement learning
457	Interplay of approximate planning strategies Quentin J. M. Huysa,b,1, Níall Lallyc,d, Paul Faulknere, Neir Eshelf, Erich Seifritzb, Samuel J. Gershmang, Peter Dayanh,2, and Jonathan P. Roiserc,2 a Translational Neuromo Add to Reading List Source URL: www.quentinhuys.com Language: English - Date: 2015-02-09 17:58:53 Mathematics Dynamic programming Decision tree model Pruning File system fragmentation Reinforcement learning Decision trees Theoretical computer science Applied mathematics
458	Scaling up Reinforcement Learning with Human Knowledge as an Intrinsic Behavior Tatsuo Unemi Dept. of Information Technology, University of Zurich, Switzerland unemi@iﬁ.unizh.ch Dept. of Information Systems Science, So Add to Reading List Source URL: www.intlab.soka.ac.jp Language: English - Date: 2000-04-27 11:01:18 Ethology Learning Reinforcement learning Developmental psychology Reinforcement Reliability engineering Machine learning Recall Mind Psychology Behaviorism
459	Supplementary Material for Monte Carlo Bayesian Reinforcement Learning 1. Proof of Theorem 1 ≤ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-05-24 21:19:22 Partially observable Markov decision process Statistics Markov processes Markov chain

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