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Physical reasoning for intelligent agents in simulated environments

Ge, Xiaoyu


Developing Artificial Intelligence (AI) that is capable of understanding and interacting with the real world in a sophisticated way has long been a grand vision of AI. There is an increasing number of AI agents coming into our daily lives and assisting us with various daily tasks ranging from house cleaning to serving food in restaurants. While different tasks have different goals, the domains of the tasks all obey the physical rules (classic Newtonian physics) of the real world. To...[Show more]

CollectionsOpen Access Theses
Date published: 2017
Type: Thesis (PhD)
DOI: 10.25911/5c541273c1d79


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