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AAMAS
2007
Springer
142
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Intelligent Agents
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AAMAS 2007
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Parallel Reinforcement Learning with Linear Function Approximation
14 years 17 days ago
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www.aamas-conference.org
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
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