Learning and Planning with a Semantic Model

ICLR 2019 Yi WuYuxin WuAviv TamarStuart RussellGeorgia GkioxariYuandong Tian

Building deep reinforcement learning agents that can generalize and adapt to unseen environments remains a fundamental challenge for AI. This paper describes progresses on this challenge in the context of man-made environments, which are visually diverse but contain intrinsic semantic regularities... (read more)

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