GA3C: GPU-based A3C for Deep Reinforcement Learning

@article{Babaeizadeh2016GA3CGA,
  title={GA3C: GPU-based A3C for Deep Reinforcement Learning},
  author={Mohammad Babaeizadeh and Iuri Frosio and Stephen Tyree and Jason Clemons and Jan Kautz},
  journal={CoRR},
  year={2016},
  volume={abs/1611.06256}
}
We introduce and analyze the computational aspects of a hybrid CPU/GPU implementation of the Asynchronous Advantage Actor-Critic (A3C) algorithm, currently the state-of-the-art method in reinforcement learning for various gaming tasks. Our analysis concentrates on the critical aspects to leverage the GPU’s computational power, including the introduction of a system of queues and a dynamic scheduling strategy, potentially helpful for other asynchronous algorithms as well. We also show the… CONTINUE READING

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