"Sparse Feature Selection Makes Batch Reinforcement Learning More Sample ..."

Botao Hao et al. (2021)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2021-08-25

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/icml/HaoDLSW21
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  - https://dblp.org/rec/conf/icml/HaoDLSW21
Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang:
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. ICML 2021: 4063-4073

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