Reinforcement learning competition pushes the boundaries of embodied AI

In a recent development in embodied AI, scientists at IBM, the Massachusetts Institute of Technology, and Stanford University developed a new challenge that will help assess AI agents’ ability to find paths, interact with objects, and plan tasks efficiently. Titled ThreeDWorld Transport Challenge, the test is a virtual environment that will be presented at the Embodied AI Workshop during the Conference on Computer Vision and Pattern Recognition, held online in June.

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