Tensor low-rank (PARAFAC) policies for Gaussian and softmax policy-gradient methods match neural-network returns on several RL benchmarks while using fewer parameters and converging faster.
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Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
Tensor low-rank (PARAFAC) policies for Gaussian and softmax policy-gradient methods match neural-network returns on several RL benchmarks while using fewer parameters and converging faster.