Reviews: Unsupervised Video Object Segmentation for Deep Reinforcement Learning
–Neural Information Processing Systems
In particular, this work uses SfM-Net [1], which learns to predict optical flow of a single image, to segment the objects in a state, and then uses this object-mask for reinforcement learning. MOREL is evaluated on all 59 Atari games, where it outperforms the baselines in several environments.
deep reinforcement learning, reinforcement learning, unsupervised video object segmentation, (9 more...)
Neural Information Processing Systems
Oct-7-2024, 20:29:19 GMT
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