AN EFFICIENT DISTRIBUTED REINFORCEMENT LEARNING ARCHITECTURE FOR LONG-HAUL COMMUNICATION BETWEEN ACTORS AND LEARNER

An Efficient Distributed Reinforcement Learning Architecture for Long-Haul Communication Between Actors and Learner

A computing cluster that interconnects multiple compute nodes is used to accelerate distributed reinforcement learning that uses DQN (Deep Q-Network).In distributed reinforcement learning, actor nodes acquire experiences by interacting with a given environment and a learner node optimizes the DQN model.When distributed reinforcement learning is use

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Generalist dinoflagellate endosymbionts and host genotype diversity detected from mesophotic (67-100 m depths) coral Leptoseris

Abstract Background Mesophotic corals (light-dependent corals in the deepest half of the photic zone at depths of 30 - 150 m) provide a unique opportunity to study the limits of the interactions between corals and endosymbiotic dinoflagellates in the genus Symbiodinium.We sampled Leptoseris spp.in Hawaii via manned submersibles across a depth range

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