Robust Dual View Deep Agent

13 Apr 2018 Ibrahim M. Sobh Nevin M. Darwish

Motivated by recent advance of machine learning using Deep Reinforcement Learning this paper proposes a modified architecture that produces more robust agents and speeds up the training process. Our architecture is based on Asynchronous Advantage Actor-Critic (A3C) algorithm where the total input dimensionality is halved by dividing the input into two independent streams... (read more)

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