Particle Filter-based Policy Gradient in POMDPs

NeurIPS 2008 Pierre-Arnaud CoquelinRomain DeguestRémi Munos

Our setting is a Partially Observable Markov Decision Process with continuous state, observation and action spaces. Decisions are based on a Particle Filter for estimating the belief state given past observations... (read more)

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