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Automated planning and scheduling
Results: 432

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311	Academic Planning Using the Planner Using the Planner The Planner is a tool for you to use in building a list of classes that will meet your academic objectives. Only you may add or edit the information in your Planner. Add to Reading List Source URL: usss.iu.edu Language: English - Date: 2012-08-16 10:27:22 Artificial intelligence Automated planning and scheduling Planner
312	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
313	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
314	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
315	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
316	Hierarchical Task and Motion Planning in the Now Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— In this paper we outline an approach to the integration of task planning and motion planning that has the foll Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:28 Automated planning and scheduling Applied mathematics Logic in computer science STRIPS Motion planning Fluent Function Abstraction Algorithm Mathematics Artificial intelligence Theoretical computer science
317	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
318	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]July 3, 2012 Add to Reading List Source URL: dspace.mit.edu Language: English - Date: 2012-07-04 02:02:59 Cognition Dynamic programming Partially observable Markov decision process Stochastic control Robot navigation Motion planning Automated planning and scheduling Robotic mapping Free will Statistics Science Knowledge
319	Nearly Deterministic Abstractions of Markov Decision Processes Terran Lane and Leslie Pack Kaelbling MIT Artificial Intelligence Laboratory 200 Technology Square Cambridge, MA 02139 {terran,lpk}@ai.mit.edu Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:51 Dynamic programming Stochastic control Markov models Markov decision process Operations research Reinforcement learning Automated planning and scheduling Travelling salesman problem Stochastic Statistics Markov processes Probability and statistics
320	Grasping POMDPs Kaijen Hsiao and Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-03-08 12:09:00 Stochastic control Partially observable Markov decision process Procedural programming languages Lisp programming language Markov decision process ALGOL 68 Automated planning and scheduling Motion planning Cons Statistics Dynamic programming Markov processes

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