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CI
2005
106views more  CI 2005»
13 years 3 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
ECAI
2000
Springer
13 years 8 months ago
Continual Planning with Time-Oriented, Skeletal Plans
In dynamically changing environments a planning system does not have all the required information at the first place and the world state can change, rendering the original plan i...
Silvia Miksch, Andreas Seyfang
AIIDE
2009
13 years 4 months ago
Bowyer: A Planning Tool for Bridging the Gap between Declarative and Procedural Domains
Traditionally, there have been two large obstacles faced in attempting to apply AI techniques to games and other virtual environments. The first obstacle is the gap between the la...
Steven P. Cash, R. Michael Young
EDUTAINMENT
2006
Springer
13 years 7 months ago
Research of Dynamic Terrain in Complex Battlefield Environments
In this paper, we present a novel method for dynamic terrain in battlefield and an efficient plan to simulate crater in the battle. We explore a few methods for dynamic terrain sur...
Xingquan Cai, Fengxia Li, Haiyan Sun, Shouyi Zhan