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Feature-Based Aggregation and Deep Reinforcement Learning:A Survey and Some New Implementations

Dimitri P.Bertsekas

自动化学报(英文版)2019,Vol.6Issue(1):1-31,31.
自动化学报(英文版)2019,Vol.6Issue(1):1-31,31.DOI:10.1109/JAS.2018.7511249

Feature-Based Aggregation and Deep Reinforcement Learning:A Survey and Some New Implementations

Feature-Based Aggregation and Deep Reinforcement Learning:A Survey and Some New Implementations

Dimitri P.Bertsekas1

作者信息

  • 1. Department of Electrical Engineering and Computer Science,and the Laboratory for Information and Decision Systems,Massachusetts Institute of Technology(M.I.T.), Cambridge, MA 02139 USA
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摘要

关键词

Reinforcement learning/dynamic programming/Markovian decision problems/aggregation/feature-based architectures/policy iteration/deep neural networks/rollout algorithms

Key words

Reinforcement learning/dynamic programming/Markovian decision problems/aggregation/feature-based architectures/policy iteration/deep neural networks/rollout algorithms

引用本文复制引用

Dimitri P.Bertsekas..Feature-Based Aggregation and Deep Reinforcement Learning:A Survey and Some New Implementations[J].自动化学报(英文版),2019,6(1):1-31,31.

自动化学报(英文版)

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2329-9266

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