Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions by Warren B. Powell

Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions
Warren B. Powell
Page: 1136
Format: pdf, ePub, mobi, fb2
ISBN: 9781119815037
Publisher: Wiley
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Nathan Kallus Abstract: Off-policy evaluation of sequential decision policies from observational data is necessary in applications of batch reinforcement learning such as 
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 A unified framework for stochastic and dynamic  - CiteSeerX sequential stochastic optimization problems, with proponents der names such as reinforcement learning, stochastic control,.
 A Unified Framework for Optimization under Uncertainty Abstract: Stochastic optimization is a fragmented field comprised of multiple (reinforcement learning, bandit problems), optimal control (stochastic 
 Reinforcement Learning and Stochastic Optimization: A Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions : Powell, Warren B.: Amazon.de: Bücher.
 9781119815037: Reinforcement Learning and Stochastic AbeBooks.com: Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions (9781119815037) by Powell, Warren B. and a 
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 Reinforcement Learning and Stochastic book - ThriftBooks Cover for "Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions". Empty Star. No reviews Format: HardcoverRelease Date: March 2022Publisher: Wiley & Sons, Incorporated, JohnWeight: 4.13 lbs
 Unified Framework for Sequential Decisions under Uncertainty Sequential decisions are an almost universal problem class, simulation optimization, approximate dynamic programming/reinforcement learning,

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