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Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs

We present a data-efficient reinforcement learning method for continuous stateaction systems under significant observation noise. Data-efficient solutions under small noise exist, such as PILCO which learns the cartpole swing-up task in 30s. PILCO …