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Dynamic programming / Applied mathematics / Mathematical optimization / Equations / Optimal control / Overlapping subproblems / Algorithm / Scheduling / Heuristic function / Operations research / Control theory / Statistics


Parallelizing Reinforcement Learning Jonathan T. Barron Dave S. Golland Nicholas J. Hay
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Document Date: 2012-07-28 19:03:16


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File Size: 1,02 MB

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Company

NTL / MIT Press / /

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Facility

University of California Press / /

IndustryTerm

multicore processors / reinforcement learning algorithm / baseline convergence algorithm / policy iteration algorithm / partial solution / asynchronous convergence algorithm / explaining our parallelized algorithm / convergence algorithm / parallel algorithm / partial solutions / correct solution / naive solution / /

Organization

MIT / University of California Press / Pattern Analysis and Machine Intelligence / /

Person

B. Van Roy / Job Pool Thread Job Runnable / Proc / Jonathan T. Barron / Dave S. Golland Nicholas / /

Position

Queue Thread pool Scheduler / round-robin scheduler / Scheduling Architecture The scheduler / scheduler / naive scheduler / /

ProgrammingLanguage

MATLAB / Java / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / the Communicator / /

Technology

asynchronous convergence algorithm / artificial intelligence / Java / convergence algorithm / parallel algorithm / baseline convergence algorithm / non-parallelized algorithm / multicore processors / simulation / reinforcement learning algorithm / same algorithm / policy iteration algorithm / shared memory / /

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