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"A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning."

Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl (2021)

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DOI: 10.1007/978-3-030-89177-0_1

access: closed

type: Conference or Workshop Paper

metadata version: 2021-11-05

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  dblp key:
  - conf/taros/MohtasibNC21
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  - https://dblp.org/rec/conf/taros/MohtasibNC21
Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl:
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning. TAROS 2021: 3-13

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