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» Learning Action Strategies for Planning Domains
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FLAIRS
2003
13 years 6 months ago
Alternate Strategies for Retrieval in State-Spaces
In our previous research, we investigated the properties of case-based plan recognition with incomplete plan libraries. Incremental construction of plan libraries along with retri...
Boris Kerkez, Michael T. Cox
IJCAI
2003
13 years 6 months ago
A lookahead strategy for solving large planning problems
Relaxed plans are used in the heuristic search planner FF for computing a numerical heuristic and extracting helpful actions. We present a novel way for extracting information fro...
Vincent Vidal
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
13 years 11 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
AAAI
1996
13 years 6 months ago
Learning to Take Actions
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Roni Khardon
ICCBR
1997
Springer
13 years 9 months ago
Merge Strategies for Multiple Case Plan Replay
Planning by analogical reasoning is a learning method that consists of the storage, retrieval, and replay of planning episodes. Planning performance improves with the accumulationa...
Manuela M. Veloso