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AIPS
2006
15 years 1 months ago
Optimal STRIPS Planning by Maximum Satisfiability and Accumulative Learning
Planning as satisfiability (SAT-Plan) is one of the best approaches to optimal planning, which has been shown effective on problems in many different domains. However, the potenti...
Zhao Xing, Yixin Chen, Weixiong Zhang
SCAI
2008
15 years 1 months ago
A Framework For Human-Aware Robot Planning
Abstract. Robots that share their workspace with humans, like household or service robots, need to take into account the presence of humans when planning their actions. In this pap...
Marcello Cirillo, Lars Karlsson, Alessandro Saffio...
ICAI
2004
15 years 1 months ago
Coordinating Autonomous Planners
We present a framework for coordinating autonomous planning agents. Together, these agents have to achieve a set of interdependent (elementary) tasks. Each of the agents receives a...
Adriaan ter Mors, Jeroen Valk, Cees Witteveen
AAAI
1990
15 years 28 days ago
Integrating, Execution, Planning, and Learning in Soar for External Environments
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
John E. Laird, Paul S. Rosenbloom
JAIR
2007
127views more  JAIR 2007»
14 years 11 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...