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Scalable Bayesian Inverse Reinforcement Learning.
Alex J. Chan
Mihaela van der Schaar
Published in:
CoRR (2021)
Keyphrases
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inverse reinforcement learning
bayesian nonparametric
partially observable environments
preference elicitation
reward function
decision theory
variational inference
bayesian networks
model selection
mixture model
bayesian inference
gaussian process
temporal difference
supervised learning
simple examples