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» Learning Action Strategies for Planning Domains
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FLAIRS
2003
13 years 8 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 8 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»
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
AAAI
1996
13 years 8 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 11 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