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» Learning Action Strategies for Planning Domains
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AI
2007
Springer
13 years 6 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
ECP
1997
Springer
105views Robotics» more  ECP 1997»
13 years 10 months ago
Planning, Learning, and Executing in Autonomous Systems
Systems that act autonomously in the environment have to be able to integrate three basic behaviors: planning, execution, and learning. Planning involves describing a set of action...
Ramón García-Martínez, Daniel...
ATAL
2009
Springer
14 years 25 days ago
Improving adjustable autonomy strategies for time-critical domains
As agents begin to perform complex tasks alongside humans as collaborative teammates, it becomes crucial that the resulting humanmultiagent teams adapt to time-critical domains. I...
Nathan Schurr, Janusz Marecki, Milind Tambe
AAAI
2008
13 years 8 months ago
On-Line Case-Based Plan Adaptation for Real-Time Strategy Games
Traditional artificial intelligence techniques do not perform well in applications such as real-time strategy games because of the extensive search spaces which need to be explore...
Neha Sugandh, Santiago Ontañón, Ashw...
ML
1998
ACM
220views Machine Learning» more  ML 1998»
13 years 5 months ago
Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
Toshiharu Sugawara, Victor R. Lesser