@book{suttonReinforcementLearningIntroduction2018,
  location = {{Cambridge, MA}},
  title = {Reinforcement Learning: An Introduction},
  edition = {Second edition},
  isbn = {978-0-262-03924-6},
  shorttitle = {Reinforcement Learning},
  abstract = {"Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms."--},
  series = {Adaptive Computation and Machine Learning Series},
  publisher = {{The MIT Press}},
  date = {2018},
  keywords = {Reinforcement learning},
  author = {Sutton, Richard S. and Barto, Andrew G.},
  file = {/home/dimitri/Nextcloud/Zotero/storage/YAV98CV3/Sutton and Barto - 2018 - Reinforcement learning an introduction.pdf}
}

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