Automated planning and scheduling

Results: 432



#Item
41Three types of ambiguity Lars Peter Hansen University of Chicago and NBER Thomas J. Sargent New York University and the Hoover Institution

Three types of ambiguity Lars Peter Hansen University of Chicago and NBER Thomas J. Sargent New York University and the Hoover Institution

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Source URL: www.tomsargent.com

Language: English - Date: 2015-04-08 13:03:58
42ORIGINAL RESEARCH ARTICLE published: 06 January 2014 doi: fnbotNEUROROBOTICS

ORIGINAL RESEARCH ARTICLE published: 06 January 2014 doi: fnbotNEUROROBOTICS

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Source URL: juxi.net

Language: English - Date: 2014-01-13 11:29:10
43Cooperative Epistemic Multi-Agent Planning With Implicit Coordination Thorsten Engesser Thomas Bolander  ¨

Cooperative Epistemic Multi-Agent Planning With Implicit Coordination Thorsten Engesser Thomas Bolander ¨

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Source URL: www.imm.dtu.dk

Language: English - Date: 2015-06-11 06:23:58
44Learning Partially Observable Action Models: Efficient Algorithms Dafna Shahaf Allen Chang Eyal Amir Computer Science Department University of Illinois, Urbana-Champaign Urbana, IL 61801, USA {dshahaf2,achang6,eyal}@uiuc

Learning Partially Observable Action Models: Efficient Algorithms Dafna Shahaf Allen Chang Eyal Amir Computer Science Department University of Illinois, Urbana-Champaign Urbana, IL 61801, USA {dshahaf2,achang6,eyal}@uiuc

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Source URL: infolab.stanford.edu

Language: English - Date: 2010-08-28 23:41:19
45Kinodynamic Randomized Rearrangement Planning via Dynamic Transitions Between Statically Stable States Joshua A. Haustein∗ , Jennifer King† , Siddhartha S. Srinivasa† , Tamim Asfour∗ ∗ Karlsruhe Institute of Te

Kinodynamic Randomized Rearrangement Planning via Dynamic Transitions Between Statically Stable States Joshua A. Haustein∗ , Jennifer King† , Siddhartha S. Srinivasa† , Tamim Asfour∗ ∗ Karlsruhe Institute of Te

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Source URL: www.ri.cmu.edu

Language: English - Date: 2015-05-11 12:59:51
46Using Iterated Reasoning to Predict Opponent Strategies Michael Wunder Michael Kaisers  Rutgers University

Using Iterated Reasoning to Predict Opponent Strategies Michael Wunder Michael Kaisers Rutgers University

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Source URL: michaelkaisers.com

Language: English - Date: 2012-04-29 08:04:26
47Sampling-based Motion Planning with High-Level Discrete Specifications Erion Plaku Abstract— Motion planning has generally focused on computing a collision-free trajectory to a goal region. Enhancing the ability of rob

Sampling-based Motion Planning with High-Level Discrete Specifications Erion Plaku Abstract— Motion planning has generally focused on computing a collision-free trajectory to a goal region. Enhancing the ability of rob

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Source URL: www.cse.unr.edu

Language: English - Date: 2012-12-20 19:29:52
48

PDF Document

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Source URL: iros2011.org

Language: English - Date: 2011-09-21 07:00:32
49Sampling-based Motion Planning with High-Level Discrete Specifications Erion Plaku Abstract— Motion planning has generally focused on computing a collision-free trajectory to a goal region. Enhancing the ability of rob

Sampling-based Motion Planning with High-Level Discrete Specifications Erion Plaku Abstract— Motion planning has generally focused on computing a collision-free trajectory to a goal region. Enhancing the ability of rob

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Source URL: iros2011.org

Language: English - Date: 2011-09-21 07:00:36
50

PDF Document

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Source URL: www.cse.unr.edu

Language: English - Date: 2012-12-20 19:29:36