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Reinforcement theory
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#	Item
181	Learning to Coordinate Behaviors Pattie Maes & Rodney A. Brooks Al-Laboratory Massachusetts Institute of Technology 545 Technology Square Cambridge, MA 02139 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-12-08 14:54:35 Feedback Behavior Robotics Reinforcement Philosophy of psychology Applied psychology Organizational behavior Cognitive behavioral therapy Applied behavior analysis Behaviorism Psychology Control theory
182	Behavioral Approaches to INJURY CONTROL Add to Reading List Source URL: depts.washington.edu Language: English - Date: 2004-03-30 10:04:38 Theory of planned behavior Theory of reasoned action Expectancy theory Behavior change Attitude Self-efficacy Psychology Motivation Reinforcement Behavior Mind Ethology
183	Learning Theories Wikibooks.org March 18, 2013 Add to Reading List Source URL: upload.wikimedia.org Language: English - Date: 2013-10-05 05:03:48 Mind Radical behaviorism Learning theory Reinforcement Applied behavior analysis Operant conditioning Verbal Behavior B. F. Skinner Learning Behaviorism Behavior Psychology
184	Policy search by dynamic programming J. Andrew Bagnell Carnegie Mellon University Pittsburgh, PA[removed]Andrew Y. Ng Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-03-05 16:57:09 Markov processes Applied mathematics Markov models Dynamic programming Stochastic control Reinforcement learning Partially observable Markov decision process Mathematical optimization Markov chain Statistics Operations research Control theory
185	Adapting Control Policies for Expensive Systems to Changing Environments Matthew Tesch, Jeff Schneider, and Howie Choset Abstract— Many controlled systems must operate over a range of external conditions. In this paper Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-07-26 13:29:57 Mathematics Operations research Global optimization PID controller Algorithm Search algorithm Reinforcement learning Genetic algorithm Mathematical optimization Systems theory Applied mathematics
186	Multi-Agent Quadrotor Testbed Control Design: Integral Sliding Mode vs. Reinforcement Learning Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2007-01-10 18:14:08 Nonlinear control Science Markov models Sliding mode control Dynamical systems Optimal control Integral sliding mode Quadrotor Feedback linearization Systems theory Control theory Cybernetics
187	Journal of Artificial Intelligence Research[removed]704 Submitted 09/11; published[removed]Learning to Win by Reading Manuals in a Monte-Carlo Framework Add to Reading List Source URL: jair.org Language: English - Date: 2012-04-30 11:59:27 Monte Carlo method Numerical analysis Probabilistic complexity theory Reinforcement learning Markov decision process Algorithm Stochastic Machine learning Artificial intelligence Statistics Mathematics Probability and statistics
188	Reinforcement Learning for Mapping Instructions to Actions S.R.K. Branavan, Harr Chen, Luke S. Zettlemoyer, Regina Barzilay Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology {b Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-05-20 11:08:30 Markov decision process Maximum likelihood Statistics Statistical theory Reinforcement learning
189	DetH: Approximate Hierarchical Solution of Large Markov Decision Processes∗ Jennifer L. Barry, Leslie Pack Kaelbling, Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2012-06-11 20:17:47 Dynamic programming Markov processes Stochastic control Optimal control Markov decision process Reinforcement learning Function Macro Automated planning and scheduling Statistics Control theory Mathematics
190	DetH: Approximate Hierarchical Solution of Large Markov Decision Processes∗ Jennifer L. Barry, Leslie Pack Kaelbling, Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2011-09-29 15:55:17 Dynamic programming Markov processes Stochastic control Optimal control Markov decision process Reinforcement learning Function Macro Automated planning and scheduling Statistics Control theory Mathematics

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