TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE

Gibson Env: Real-World Perception for Embodied Agents

CVPR 2018 • Fei Xia • Amir Zamir • Zhi-Yang He • Alexander Sax • Jitendra Malik • Silvio Savarese

Developing visual perception models for active agents and sensorimotor control are cumbersome to be done in the physical world, as existing algorithms are too slow to efficiently learn in real-time and robots are fragile and costly. This has given rise to learning-in-simulation which consequently casts a question on whether the results transfer to real-world... (read more)

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DOMAIN ADAPTATION

GENERAL REINFORCEMENT LEARNING

ROBOT NAVIGATION

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Gibson Environment

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Arcade Learning Environment

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