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Understanding Sequential Decisions via Inverse Reinforcement Learning.
Siyuan Liu
Miguel Araujo
Emma Brunskill
Rosaldo J. F. Rossetti
João Barros
Ramayya Krishnan
Published in:
MDM (1) (2013)
Keyphrases
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inverse reinforcement learning
bayesian nonparametric
decision makers
partially observable environments
decision making
reward function
artificial intelligence
privacy preserving
random variables
function approximation
desirable properties