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» Diagnosis of Plans and Agents
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ILP
2000
Springer
14 years 1 months ago
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Mark D. Reid, Malcolm R. K. Ryan
AIPS
2008
14 years 12 days ago
Criticality Metrics for Distributed Plan and Schedule Management
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...
Rajiv T. Maheswaran, Pedro A. Szekely
HCI
2001
13 years 11 months ago
Structureless, intention-guided web sites: planning based adaptation
The great variety of users of the services available on the internet raised the problem of finding flexible forms of presentation and interaction, which depend on the specific user...
Matteo Baldoni, Cristina Baroglio, Viviana Patti
AI
2007
Springer
13 years 10 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
FLAIRS
2007
14 years 12 days ago
Dynamic DDN Construction for Lightweight Planning Architectures
POMDPs are a popular framework for representing decision making problems that contain uncertainty. The high computational complexity of finding exact solutions to POMDPs has spaw...
William H. Turkett