BibTeX record conf/nips/MoskovitzPPAJ21

download as .bib file

@inproceedings{DBLP:conf/nips/MoskovitzPPAJ21,
  author       = {Ted Moskovitz and
                  Jack Parker{-}Holder and
                  Aldo Pacchiano and
                  Michael Arbel and
                  Michael I. Jordan},
  editor       = {Marc'Aurelio Ranzato and
                  Alina Beygelzimer and
                  Yann N. Dauphin and
                  Percy Liang and
                  Jennifer Wortman Vaughan},
  title        = {Tactical Optimism and Pessimism for Deep Reinforcement Learning},
  booktitle    = {Advances in Neural Information Processing Systems 34: Annual Conference
                  on Neural Information Processing Systems 2021, NeurIPS 2021, December
                  6-14, 2021, virtual},
  pages        = {12849--12863},
  year         = {2021},
  url          = {https://proceedings.neurips.cc/paper/2021/hash/6abcc8f24321d1eb8c95855eab78ee95-Abstract.html},
  timestamp    = {Tue, 03 May 2022 16:20:48 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/MoskovitzPPAJ21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.