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» Learning action models for multi-agent planning
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ATAL
2006
Springer
13 years 11 months ago
Reasoning about action and cooperation
We present a logic for reasoning both about the ability of agents to cooperate to execute complex actions, and how this relates to their ability to reach certain states of affairs...
Luigi Sauro, Jelle Gerbrandy, Wiebe van der Hoek, ...
ISORC
2000
IEEE
13 years 12 months ago
Establishing a Data-Mining Environment for Wartime Event Prediction with an Object-Oriented Command and Control Database
This paper documents progress to date on a research project, the goal of which is wartime event prediction. The paper describes the operational concept, the datamining environment...
Marion G. Ceruti, S. Joe McCarthy
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone
AI
2007
Springer
13 years 7 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
ECAI
2010
Springer
13 years 8 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...