Explainability in reinforcement learning: perspective and position

@article{Krajna2022ExplainabilityIR,
  title={Explainability in reinforcement learning: perspective and position},
  author={Agneza Krajna and Mario Br{\vc}i{\vc} and Tomislav Lipi{\'c} and Juraj Doncevic},
  journal={ArXiv},
  year={2022},
  volume={abs/2203.11547}
}
Artificial intelligence (AI) has been embedded into many aspects of people’s daily lives and it has become normal for people to have AI make decisions for them. From helping users to find their favorite items to purchase, recommending movies and friends on Facebook, to life-essential decisions. Reinforcement learning (RL) models increase the space of solvable problems with respect to other machine learning paradigms. Some of the most interesting applications are in situations with… 

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