Monte Carlo Bayesian Reinforcement Learning

27 Jun 2012 Yi Wang Kok Sung Won David Hsu Wee Sun Lee

Bayesian reinforcement learning (BRL) encodes prior knowledge of the world in a model and represents uncertainty in model parameters by maintaining a probability distribution over them. This paper presents Monte Carlo BRL (MC-BRL), a simple and general approach to BRL... (read more)

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