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"Kinematic State Abstraction and Provably Efficient Rich-Observation ..."

Dipendra Misra et al. (2020)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2020-12-15

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/icml/MisraHK020
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  persistent URL:
  - https://dblp.org/rec/conf/icml/MisraHK020
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford:
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. ICML 2020: 6961-6971

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