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Aravind Srinivas

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Aravind Rajeswaran

> Home > Persons > Aravind Srinivas

Publications

2021
[c8]
- view
  - electronic edition @ neurips.cc (open access)
  - details & citations
- export record
  dblp key:
  - conf/nips/ChenLRLGLASM21
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  persistent URL:
  - https://dblp.org/rec/conf/nips/ChenLRLGLASM21
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch:
Decision Transformer: Reinforcement Learning via Sequence Modeling. NeurIPS 2021: 15084-15097
[c7]
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  - electronic edition @ neurips.cc (open access)
  - details & citations
- export record
  dblp key:
  - conf/nips/ShangWSRGAL21
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- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ShangWSRGAL21
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin:
Reinforcement Learning with Latent Flow. NeurIPS 2021: 22171-22183
[i16]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2101-01857
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2101-01857
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin:
Reinforcement Learning with Latent Flow. CoRR abs/2101.01857 (2021)
[i10]
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  - electronic edition @ arxiv.org (open access)
  - details & citations
- export record
  dblp key:
  - journals/corr/abs-2106-01345
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-01345
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch:
Decision Transformer: Reinforcement Learning via Sequence Modeling. CoRR abs/2106.01345 (2021)

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