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Adaptive proxies: handling widely-shared data in shared-memory multiprocessors

Adaptive proxies: handling widely-shared data in shared-memory multiprocessors. Sarah A M Talbot Oceanography Lab, T H Huxley School of the Environment Paul H J Kelly Software Performance Optimisation Group, Dept of Computing Imperial College, London. Large-scale shared-memory.

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538 views • 36 slides

Model-based Bayesian Reinforcement Learning in Partially Observable Domains

Model-based Bayesian Reinforcement Learning in Partially Observable Domains. by. Pascal Poupart and Nikos Vlassis. ( 2008 International Symposium on Artificial Intelligence and Math ). Presented by Lihan He ECE, Duke University Oct 3, 2008. Outline. Introduction

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264 views • 15 slides

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Adaptive proxies: handling widely-shared data in shared-memory multiprocessors

Model-based Bayesian Reinforcement Learning in Partially Observable Domains