Deep reinforcement learning methods traditionally struggle with tasks where environment rewards are particularly sparse. In this video we discuss two-stage method that overcomes these limitations by relying on noisy, unaligned footage without access to such data.
Paper: https://arxiv.org/abs/1805.11592
Deep Learning book: https://amzn.to/2FTO77C
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