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Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

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Figure

Figure 1 | Illustration of ray interference in two objective component dimensions J 1 , J 2
Figure 2 | Bandit learning dynamics: Geometric intu- intu-itions to accompany the derivations
Figure 3 | Likelihood of encountering a flat plateau.
Figure 4 | Learning curves when scaling up the problem dimension (jointly K and n ). We observe that the K = 8 runs go through more separate plateaus, and each plateau takes exponentially longer to overcome than the previous one (the horizontal axis is log
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