16,574 research outputs found

    Scalable Planning and Learning for Multiagent POMDPs: Extended Version

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    Online, sample-based planning algorithms for POMDPs have shown great promise in scaling to problems with large state spaces, but they become intractable for large action and observation spaces. This is particularly problematic in multiagent POMDPs where the action and observation space grows exponentially with the number of agents. To combat this intractability, we propose a novel scalable approach based on sample-based planning and factored value functions that exploits structure present in many multiagent settings. This approach applies not only in the planning case, but also in the Bayesian reinforcement learning setting. Experimental results show that we are able to provide high quality solutions to large multiagent planning and learning problems

    On the Coexistence Magnetism/Superconductivity in the Heavy-Fermion Superconductor CePt3_3Si

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    The interplay between magnetism and superconductivity in the newly discovered heavy-fermion superconductor CePt3_3Si has been investigated using the zero-field μ\muSR technique. The μ\muSR data indicate that the whole muon ensemble senses spontaneous internal fields in the magnetic phase, demonstrating that magnetism occurs in the whole sample volume. This points to a microscopic coexistence between magnetism and heavy-fermion superconductivity.Comment: Final version, new figure structure, references correcte

    The 10 Tesla muSR instrument: detector solutions

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    Solutions to the detector system of the High-Field muSR instrument at the Paul Scherrer Institut (PSI) in Switzerland are presented. The strict technical requirements are fulfilled through the application of Geiger-mode Avalanche Photodiodes.Comment: 6 pages, 4 figure
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