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AIPS
2008
15 years 6 months ago
Generative Planning for Hybrid Systems Based on Flow Tubes
When controlling an autonomous system, it is inefficient or sometimes impossible for the human operator to specify detailed commands. Instead, the field of AI autonomy has develop...
Hui X. Li, Brian C. Williams
ENVSOFT
2008
78views more  ENVSOFT 2008»
15 years 4 months ago
A general water supply planning model: Evaluation of decentralized treatment
Increasing population, diminishing supplies and variable climatic conditions can cause difficulties in meeting water demands; especially in arid regions where water resources are ...
G. Chung, K. Lansey, P. Blowers, P. Brooks, W. Ela...
173
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CORR
2011
Springer
219views Education» more  CORR 2011»
14 years 11 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
JAIR
2006
157views more  JAIR 2006»
15 years 4 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...
CI
2005
106views more  CI 2005»
15 years 4 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