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Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks.
Stefan Depeweg
José Miguel Hernández-Lobato
Finale Doshi-Velez
Steffen Udluft
Published in:
CoRR (2016)
Keyphrases
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dynamical systems
neural network
predictive state representations
reinforcement learning
policy search
learning algorithm
partially observable
supervised learning
bayesian networks
search algorithm
state space
learning tasks
radial basis function
dynamic systems
reinforcement learning methods