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» Learning Simulation Control in General Game-Playing Agents
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IJKESDP
2010
94views more  IJKESDP 2010»
14 years 7 months ago
Rule acquisition for cognitive agents by using estimation of distribution algorithms
Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent ...
Tokue Nishimura, Hisashi Handa
AAAI
2000
14 years 11 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
ATAL
2006
Springer
15 years 1 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
ATAL
2009
Springer
15 years 4 months ago
Solving multiagent assignment Markov decision processes
We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
Scott Proper, Prasad Tadepalli
JCIT
2007
192views more  JCIT 2007»
14 years 9 months ago
Action Representation for Natural Language Interfaces to Agent Systems
In this paper, we outline a framework for the development of natural language interfaces to agent systems with a focus on action representation. The architecture comprises a natur...
Christel Kemke