Empirical Inference

Causal Influence Detection for Improving Efficiency in Reinforcement Learning

2021

Conference Paper

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Author(s): Maximilian Seitzer and Bernhard Schölkopf and Georg Martius
Book Title: Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
Volume: 34
Pages: 22905--22918
Year: 2021
Month: December
Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P. S. Liang and J. Wortman Vaughan
Publisher: Curran Associates, Inc.

Department(s): Autonomous Learning, Empirical Inference
Research Project(s): Causal Reasoning in RL
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

Event Name: 35th Conference on Neural Information Processing Systems
Event Place: Online

Address: Red Hook, NY
ISBN: 978-1-7138-4539-3
State: Published
URL: https://proceedings.neurips.cc/paper/2021/file/c1722a7941d61aad6e651a35b65a9c3e-Paper.pdf

Links: arXiv
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BibTex

@inproceedings{Seitzer2021CID,
  title = {Causal Influence Detection for Improving Efficiency in Reinforcement Learning},
  author = {Seitzer, Maximilian and Sch{\"o}lkopf, Bernhard and Martius, Georg},
  booktitle = {Advances in Neural Information Processing Systems 34 (NeurIPS 2021)},
  volume = {34},
  pages = {22905--22918},
  editors = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P. S. Liang and J. Wortman Vaughan},
  publisher = {Curran Associates, Inc.},
  address = {Red Hook, NY},
  month = dec,
  year = {2021},
  doi = {},
  url = {https://proceedings.neurips.cc/paper/2021/file/c1722a7941d61aad6e651a35b65a9c3e-Paper.pdf},
  month_numeric = {12}
}