Do Deep Reinforcement Learning Algorithms really Learn to Navigate?

ICLR 2018 Shurjo BanerjeeVikas DhimanBrent GriffinJason J. Corso

Deep reinforcement learning (DRL) algorithms have demonstrated progress in learning to find a goal in challenging environments. As the title of the paper by Mirowski et al. (2016) suggests, one might assume that DRL-based algorithms are able to “learn to navigate” and are thus ready to replace classical mapping and path-planning algorithms, at least in simulated environments... (read more)

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