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Automated planning and scheduling
Results: 432

#	Item
331	FFRob: An efficient heuristic for task and motion planning Caelan Reed Garrett, Tom´as Lozano-P´erez, and Leslie Pack Kaelbling MIT CSAIL Abstract. Manipulation problems involving many objects present substantial chal Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2014-07-18 21:53:03 Automated planning and scheduling Robot kinematics Motion planning Robot control Pose Planner Heuristic function STRIPS Kinematics Robotics Artificial intelligence Theoretical computer science
332	Scaling Up Decentralized MDPs Through Heuristic Search Jilles S. Dibangoye Christopher Amato INRIA Computer Science and AI Laboratory Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-03-11 16:08:28 Systems theory Markov processes Stochastic control Equations Mathematical optimization Markov decision process Reinforcement learning Automated planning and scheduling Bellman equation Statistics Dynamic programming Control theory
333	Optimization in the Now: Dynamic Peephole Optimization for Hierarchical Planning Dylan Hadfield-Menell, Leslie Pack Kaelbling and Tom´as Lozano-P´erez∗ Abstract— For robots to effectively interact with the real wor Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-02-23 14:42:30 Abstraction Algorithm Hierarchical task network Simulation Automated planning and scheduling Artificial intelligence STRIPS
334	Planning with Macro-Actions in Decentralized POMDPs Christopher Amato, George D. Konidaris and Leslie P. Kaelbling MIT CSAIL Cambridge, MA 02139 {camato, gdk, lpk}@csail.mit.edu Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2014-03-18 11:50:39 Systems theory Mathematical optimization Markov processes Stochastic control Multi-agent systems Partially observable Markov decision process Automated planning and scheduling Markov decision process Action selection Statistics Dynamic programming Control theory
335	Integrated task and motion planning in belief space Leslie Pack Kaelbling and Tom´as Lozano-P´erez CSAIL, MIT, Cambridge, MA 02139 {lpk, tlp}@csail.mit.edu Abstract Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-02-24 10:52:38 Automated planning and scheduling Partially observable Markov decision process Robotic mapping Occupancy grid mapping Action selection Information Services Procurement Library Segmentation Robot Applied mathematics Statistics Motion planning Theoretical computer science
336	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: 2011-03-19 14:21:34 Automated planning and scheduling Applied mathematics Logic in computer science STRIPS Motion planning Fluent Function Abstraction Algorithm Mathematics Artificial intelligence Theoretical computer science
337	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: lis.csail.mit.edu Language: English - Date: 2012-07-07 18:01:23 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
338	Constructing Symbolic Representations for High-Level Planning George Konidaris, Leslie Pack Kaelbling and Tomas Lozano-Perez MIT Computer Science and Artificial Intelligence Laboratory 32 Vassar Street, Cambridge MA 0213 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-04-21 16:38:49 Automated planning and scheduling Philosophy of language Philosophical logic Propositional calculus Mathematical logic Planning Domain Definition Language Symbol grounding Abuse of notation STRIPS Logic Philosophy Linguistics
339	Learning Approximate Preconditions for Methods in Hierarchical Plans Okhtay Ilghami [removed] Department of Computer Science, University of Maryland, College Park, MD[removed], USA H´ Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:30 Type I and type II errors Domain Knowledge Automated planning and scheduling Hierarchical task network Artificial intelligence
340	Planner Tab In order to have your course selections approved by an Advisor, you will need to submit a Student Educational Planner. Select the Planner Tab In the Planner Tab you will see a split screen. The left side wil Add to Reading List Source URL: registrar.athabascau.ca Language: English - Date: 2014-03-24 18:24:53 Professional certification in finance Artificial intelligence Automated planning and scheduling Planner

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