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Reinforcement learning
Results: 1147

#	Item
861	Learning Distributed Control for Modular Robots Paulina Varshavskaya, Leslie Pack Kaelbling and Daniela Rus MIT CSAIL Cambridge, MA, USA {paulina,lpk,rus}@csail.mit.edu Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-06-30 13:22:50 Stochastic control Reinforcement learning Machine learning Markov decision process Self-reconfiguring modular robot Q-learning Robotics Robot Statistics Dynamic programming Markov processes
862	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
863	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
864	Artificial Intelligence[removed]–134 Planning and acting in partially observable stochastic domains Leslie Pack Kaelbling a,∗,1,2 , Michael L. Littman b,3 , Anthony R. Cassandra c,1 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:55 Stochastic control Markov models Partially observable Markov decision process Markov decision process Reinforcement learning Automated planning and scheduling Markov chain Kalman filter Statistics Markov processes Dynamic programming
865	Reinforcer Preference Assessment (Secondary Level) Student’s name: ______________________Assessor’s Name:____________________ Date completed: ______________________ Please () on a scale from 1 to 5 Least Preferred Add to Reading List Source URL: www.sesa.org Language: English - Date: 2013-09-30 15:25:39 Reinforcement Learning Homework Period Motivation Behaviorism Education Behavior
866	Hierarchical Solution of Large Markov Decision Processes Jennifer Barry and Leslie Pack Kaelbling and Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02139, USA {jbarry,lp Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-05-17 16:00:47 Dynamic programming Markov processes Stochastic control Network theory Markov decision process Reinforcement learning Symbol Algorithm Shortest path problem Statistics Mathematics Applied mathematics
867	Approximate Planning in POMDPs with Macro-Actions Georgios Theocharous MIT AI Lab 200 Technology Square Cambridge, MA 02139 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:54 Stochastic control Markov models Partially observable Markov decision process Models of computation Markov decision process Automated planning and scheduling Reinforcement learning Algorithm Q-learning Statistics Markov processes Dynamic programming
868	Learning in Worlds with Objects Leslie Pack Kaelbling, Tim Oates, Natalia Hernandez and Sarah Finney Articial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA 02139 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:48 Machine learning Educational psychology Learning Cybernetics Intelligent agent Reinforcement learning Propositional representation Q-learning Supervised learning Science Education Artificial intelligence
869	Envelope-based Planning in Relational MDPs Natalia H. Gardiol MIT AI Lab Cambridge, MA[removed]removed] Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:55 Stochastic control Computing Partially observable Markov decision process Reinforcement learning Automated planning and scheduling FO SQL Blocks world Statistics Dynamic programming Markov processes
870	Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning Paulina Varshavskaya, Leslie Pack Kaelbling and Daniela Rus Computer Science and AI Laboratory Massachusetts Institute of Technolog Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-09-07 17:21:08 Stochastic control Reinforcement learning Computational neuroscience Partially observable Markov decision process Machine learning Markov decision process Q-learning Self-reconfiguring modular robot SARSA Statistics Dynamic programming Markov processes

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