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Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations.
Rohan R. Paleja
Andrew Silva
Letian Chen
Matthew C. Gombolay
Published in:
NeurIPS (2020)
Keyphrases
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learning algorithm
scheduling policies
reinforcement learning
real time
scheduling algorithm
dynamic scheduling
user profiles
classification rules
information systems
special case
end users
scheduling problem
intelligent agents
round robin
providing personalized