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» Learning Action Selection Network of Intelligent Agent
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MICAI
2007
Springer
15 years 9 months ago
Building Fine Bayesian Networks Aided by PSO-Based Feature Selection
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...
María del Carmen Chávez, Gladys Casa...
132
Voted
AAAI
2000
15 years 4 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
CDC
2009
IEEE
162views Control Systems» more  CDC 2009»
15 years 8 months ago
Distributed optimal planning: an approach by weighted automata calculus
— We consider a distributed system modeled as a possibly large network of automata. Planning in this system consists in selecting and organizing actions in order to reach a goal ...
Eric Fabre, Loig Jezequel
127
Voted
CORR
2011
Springer
194views Education» more  CORR 2011»
14 years 7 months ago
Accelerating Reinforcement Learning through Implicit Imitation
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
Craig Boutilier, Bob Price
133
Voted
AAAI
2008
15 years 5 months ago
Planning with Problems Requiring Temporal Coordination
We present the first planner capable of reasoning with both the full semantics of PDDL2.1 (level 3) temporal planning and with numeric resources. Our planner, CRIKEY3, employs heu...
Andrew Coles, Maria Fox, Derek Long, Amanda Smith