Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes. (arXiv:2205.09448v1 [cs.AI])

Many scenes in real life can be abstracted to the sparse reward visual
scenes, where it is difficult for an agent to tackle the task under the
condition of only accepting images and sparse rewards. We propose to decompose
this problem into two sub-problems: the visual representation and the sparse
reward. To address them, a novel framework IAMMIR combining the self-supervised
representation learning with the intrinsic motivation is presented. For visual
representation, a representation driven by a combination of the …

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