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» Learning Action Strategies for Planning Domains
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EWCBR
2008
Springer
13 years 6 months ago
Real-Time Plan Adaptation for Case-Based Planning in Real-Time Strategy Games
Abstract. Case-based planning (CBP) is based on reusing past successful plans for solving new problems. CBP is particularly useful in environments where the large amount of time re...
Neha Sugandh, Santiago Ontañón, Ashw...
AIPS
2004
13 years 6 months ago
A Lookahead Strategy for Heuristic Search Planning
The planning as heuristic search framework, initiated by the planners ASP from Bonet, Loerincs and Geffner, and HSP from Bonet and Geffner, lead to some of the most performant pla...
Vincent Vidal
JAIR
2007
127views more  JAIR 2007»
13 years 4 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
AI
2004
Springer
13 years 4 months ago
The representation of planning strategies
sis of strategies, recognizable abstract patterns of planned behavior, highlights the difference between the assumptions that people make about their own planning processes and th...
Andrew S. Gordon
SOFSEM
2007
Springer
13 years 11 months ago
Incremental Learning of Planning Operators in Stochastic Domains
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
Javad Safaei, Gholamreza Ghassem-Sani