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Reinforcement theory
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#	Item
201	Policy Gradients with Parameter-based Exploration for Control Frank Sehnke1 , Christian Osendorfer1 , Thomas R¨ uckstieß1 , 1 3 Add to Reading List Source URL: www.rueckstiess.net Language: English - Date: 2009-11-26 21:08:11 Reinforcement learning CMA-ES Dimensional analysis Applied mathematics Science Estimation theory Statistics Measurement
202	Hedged learning: Regret-minimization with learning experts Yu-Han Chang [removed] CSAIL, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA[removed]USA Leslie Pack Kaelbling Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:56 Game theory Cybernetics Machine learning Search algorithms Learning Reinforcement learning Markov decision process Multi-armed bandit Algorithm Statistics Mathematics Applied mathematics
203	Reinforcement learning with Gaussian processes Yaakov Engel Dept. of Computing Science, University of Alberta, Edmonton, Canada Shie Mannor Dept. of Electrical and Computer Engineering, McGill University, Montreal, Cana Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:01 Control theory Linear filters Stochastic differential equations Kalman filter Markov decision process Normal distribution Gaussian process Q-learning SARSA Statistics Markov models Stochastic processes
204	• Supervision needs to be a deliberate and active process. Supervising adults need to understand and agree with the school-wide rules, and be able to effectively teach, monitor and provide positive feedback about foll Add to Reading List Source URL: www.learnalberta.ca Language: English - Date: 2011-03-01 22:29:20 Reinforcement Parenting Behavior Philosophy of psychology Education Behaviorism Control theory Feedback
205	Exploration and Apprenticeship Learning in Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department, Stanford University Stanford, CA 94305, USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:16:12 Estimation theory Statistical theory Dynamic programming Markov decision process Reinforcement learning Markov chain Maximum likelihood XTR Statistics Markov processes Markov models
206	Convergence of Synchronous Reinforcement Learning with Linear Function Approximation Artur Merke Lehrstuhl Informatik 1, University of Dortmund, 44227 Dortmund, Germany Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:53 Root-finding algorithms Mathematical analysis Spectrum Numerical linear algebra Reinforcement learning Least squares Mathematical optimization Numerical analysis Mathematics Spectral theory
207	Multi-agent Learning Experiments on Repeated Matrix Games Bruno Bouzy [removed] Marc M´ etivier Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:56 Search algorithms Game artificial intelligence Game theory Detection theory Minimax Reinforcement learning Multi-agent system Algorithm Zero–sum game Mathematics Applied mathematics Artificial intelligence
208	University of Victoria CURRICULUM VITAE April 2014 Name: Add to Reading List Source URL: ltc.uvic.ca Language: English - Date: 2014-04-14 18:50:29 Philosophy of psychology Verbal Behavior Applied behavior analysis Reinforcement Relational frame theory Experimental analysis of behavior Educational psychology Precision teaching Structural functionalism Behaviorism Psychology Behavior
209	Proto-Value Functions: Developmental Reinforcement Learning Sridhar Mahadevan [removed] Department of Computer Science, University of Massachusetts, Amherst, MA 01003 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:08 Linear algebra Operator theory Differential operators Multivariable calculus Spectral theory Proto-value functions Laplace operator Diffusion wavelets Laplace–Beltrami operator Mathematical analysis Mathematics Algebra
210	Relating Reinforcement Learning Performance to Classification Performance [removed] John Langford TTI-Chicago, 1427 E 60th Street, Chicago, IL[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:05 Statistical classification Reinforcement learning Q-learning Markov decision process Multiclass classification Computational learning theory Binary classification Reinforcement Learning classifier system Statistics Machine learning Artificial intelligence