@InProceedings{thejaswini_et_al:LIPIcs.FSTTCS.2022.44,
  author =	{Thejaswini, K. S. and Ohlmann, Pierre and Jurdzi\'{n}ski, Marcin},
  title =	{{A Technique to Speed up Symmetric Attractor-Based Algorithms for Parity Games}},
  booktitle =	{42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2022)},
  pages =	{44:1--44:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-261-7},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{250},
  editor =	{Dawar, Anuj and Guruswami, Venkatesan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2022.44},
  URN =		{urn:nbn:de:0030-drops-174365},
  doi =		{10.4230/LIPIcs.FSTTCS.2022.44},
  annote =	{Keywords: Parity games, Attractor decomposition, Quasipolynomial Algorithms, Universal trees}
}