81 search results - page 8 / 17 » Neuroevolutionary reinforcement learning for generalized hel... |
165
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ATAL
2009
Springer
16 years 15 days ago
2009
Springer
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...
184
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IEEEPACT
2008
IEEE
16 years 10 days ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
172
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ATAL
2007
Springer
16 years 3 days ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
195
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
163
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EUROCAST
2007
Springer
16 years 3 days ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...