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个人简介
My research aims to build intelligent, autonomous, general-purpose robots that are generally capable in a wide variety of tasks and environments.
I focus on understanding how to design agents that learn abstraction hierarchies that enable fast, goal-oriented planning. I develop and apply techniques from machine learning, reinforcement learning, optimal control and planning to construct well-grounded hierarchies that result in fast planning for common cases, and are robust to uncertainty at every level of control.
I believe that it will take advances in all of these areas, and additionally advances in how to integrate these areas, to solve the AI problem.
I focus on understanding how to design agents that learn abstraction hierarchies that enable fast, goal-oriented planning. I develop and apply techniques from machine learning, reinforcement learning, optimal control and planning to construct well-grounded hierarchies that result in fast planning for common cases, and are robust to uncertainty at every level of control.
I believe that it will take advances in all of these areas, and additionally advances in how to integrate these areas, to solve the AI problem.
研究兴趣
论文共 199 篇作者统计合作学者相似作者
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Rachel Ma, Lyndon Lam,Benjamin A. Spiegel, Aditya Ganeshan,Roma Patel,Ben Abbatematteo,David Paulius,Stefanie Tellex,George Konidaris
arxiv(2023)
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Int. J. Robotics Res.no. 4-5 (2023): 263-288
CoRR (2023): 22594-22613
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2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2023): 7976-7983
arxiv(2023)
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