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- W2950395671 abstract "We introduce a hybrid CPU/GPU version of the Asynchronous Advantage Actor-Critic (A3C) algorithm, currently the state-of-the-art method in reinforcement learning for various gaming tasks. We analyze its computational traits and concentrate on aspects critical to leveraging the GPU's computational power. We introduce a system of queues and a dynamic scheduling strategy, potentially helpful for other asynchronous algorithms as well. Our hybrid CPU/GPU version of A3C, based on TensorFlow, achieves a significant speed up compared to a CPU implementation; we make it publicly available to other researchers at this https URL ." @default.
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- W2950395671 date "2016-11-18" @default.
- W2950395671 modified "2023-10-01" @default.
- W2950395671 title "Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU" @default.
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