Fourier policy gradients

We propose a new way of deriving policy gradient updates for reinforcement learning. Our technique, based on Fourier analysis, recasts integrals that arise with expected policy gradients as convolutions and turns them into multiplications. The obtained analytical solutions allow us to capture the lo...

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Những tác giả chính: Fellows, M, Ciosek, K, Whiteson, S
Định dạng: Conference item
Được phát hành: Journal of Machine Learning Research 2018

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