Partially observable Markov decision process

Results: 193



#Item
151Automated 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

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
152Stochastic control / Partially observable Markov decision process / Markov decision process / Reinforcement learning / Multi-agent system / Agent-based model / Heuristic function / Affect / A* search algorithm / Statistics / Dynamic programming / Markov processes

Heuristic Search of Multiagent Influence Space Frans A. Oliehoek1 , Stefan Witwicki2 , and Leslie P. Kaelbling1 1 2

Add to Reading List

Source URL: people.csail.mit.edu

Language: English - Date: 2011-12-05 10:35:12
153Stochastic 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

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
154Stochastic control / Dynamical system / Motion planning / Robot / Kinematics / Normal distribution / Statistics / Dynamic programming / Partially observable Markov decision process

Robust Belief-Based Execution of Manipulation Programs Kaijen Hsiao, Tom´as Lozano-P´erez, and Leslie Pack Kaelbling Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, {kjhs

Add to Reading List

Source URL: lis.csail.mit.edu

Language: English - Date: 2012-07-07 18:01:24
155Computer vision / Dynamic programming / Partially observable Markov decision process / Stochastic control / Pose / Motion planning / Limit / Kinematics / Observation / Epistemology / Statistics / Science

Noname manuscript No. (will be inserted by the editor) Robust Grasping Under Object Pose Uncertainty Kaijen Hsiao · Leslie Pack Kaelbling · Tom´as Lozano-P´erez

Add to Reading List

Source URL: lis.csail.mit.edu

Language: English - Date: 2012-07-09 18:40:28
156Formal languages / Dynamic programming / Partially observable Markov decision process / Stochastic control / Object recognition / Interpretation / Function / Motion planning / Limit / Mathematics / Statistics / Logic

Task-Driven Tactile Exploration Kaijen Hsiao Willow Garage Menlo Park, CA Email: [removed]

Add to Reading List

Source URL: people.csail.mit.edu

Language: English - Date: 2010-06-04 04:18:57
157Motion planning / Theoretical computer science / Pose / Occupancy grid mapping / Robot / Partially observable Markov decision process / Artificial intelligence / Fluent / Causality / Computer vision / Statistics / Applied mathematics

Unifying Perception, Estimation and Action for Mobile Manipulation via Belief Space Planning Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— In this paper, we describe an integrated strategy for planning, pe

Add to Reading List

Source URL: lis.csail.mit.edu

Language: English - Date: 2012-07-07 18:01:19
158Estimation theory / Cybernetics / Linear filters / Markov models / Kalman filter / Particle filter / Partially observable Markov decision process / Normal distribution / Recursive Bayesian estimation / Statistics / Control theory / Robot control

Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important

Add to Reading List

Source URL: lis.csail.mit.edu

Language: English - Date: 2013-10-03 18:52:16
159Stochastic control / Decision theory / Partially observable Markov decision process / Markov decision process / Optimal decision / Statistical hypothesis testing / Algorithm / Greedy algorithm / Decision making / Statistics / Dynamic programming / Markov processes

Diagnose and Decide: An Optimal Bayesian Approach Emma Brunskill Computer Science Department Carnegie Mellon University [removed]

Add to Reading List

Source URL: lis.csail.mit.edu

Language: English - Date: 2013-03-11 16:09:52
160Stochastic control / Markov models / Partially observable Markov decision process / Reinforcement learning / Markov decision process / Feature selection / Statistics / Dynamic programming / Markov processes

LNAI[removed]Sequential Feature Selection for Classification

Add to Reading List

Source URL: www.rueckstiess.net

Language: English - Date: 2011-12-08 22:18:53
UPDATE