Help Me Help You: Bridging the Gaps in Human-Agent Collaboration
Papers from the 2011 AAAI Spring Symposium
Rajiv Maheswaran, Nathan Schurr, and Pedro Szekely, Program Cochairs
Technical Report SS-11-05. Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
Contents
Organizing Committee — [PDF]
Rajiv Maheswaran, Nathan Schurr, Pedro Szekely
Decentralized Models for Use in a Real-World Personal Assistant Agent Scenario — [PDF]
Christopher Amato
Mixed-Initiative Optimization in Security Games: A Preliminary Report — [PDF]
Bo An, Manish Jain, Milind Tambe, Christopher Kiekintveld
Helping Agents Help Their Users Despite Imperfect Speech Recognition — [PDF]
Joshua B. Gordon, Rebecca J. Passonneau, Susan L. Epstein
A Framework for Teaching and Executing Verb Phrases — [PDF]
Daniel Hewlett, Thomas J Walsh, Paul Cohen
Human Natural Instruction of a Simulated Electronic Student — [PDF]
Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Thomas J. Walsh, Ian R. Fasel, Sumin Beyon, Anh Tran, Jeremy Wright, Paul R. Cohen
Help Me to Help You: How to Learn Intentions, Actions and Plans — [PDF]
Harmish Khambhaita, Geert-Jan Kruijff, Matei Mancas, Mario Gianni, Panagiotis Papadakis, Fiora Pirri, Matia Pizzoli
Reinforcement Learning with Human Feedback in Mountain Car — [PDF]
W. Bradley Knox, Adam Bradley Setapen, Peter Stone
Spatial Interactions between Humans and Agents — [PDF]
Franz J. Kurfess, Gregory Flanagan, Mehul Bhatt
Toward a Computational Model of "Context" — [PDF]
Wendelin Reich
A Framework in which Robots and Humans Help Each Other — [PDF]
Elizabeth Sklar, Susan L. Epstein, Simon Parsons, Arif T. Ozgelen, Juan Pablo Munoz, Joel Gonzalez
Just Keep Tweeting, Dear: Web-Mining Methods for Helping a Social Robot Understand User Needs — [PDF]
Keisuke Takagi, Rafal Rzepka, Kenji Araki
Using Human Demonstrations to Improve Reinforcement Learning — [PDF]
Matthew Edmund Taylor, Halit Bener Suay, Sonia Chernova
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