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    Deep Learning to Learn 

    Abbeel, Pieter (Georgia Institute of Technology, 2018-08-20)
    Reinforcement learning and imitation learning have seen success in many domains, including autonomous helicopter flight, Atari, simulated locomotion, Go, robotic manipulation. However, sample complexity of these methods ...
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    Learning Locomotion: From Simulation to Real World 

    Tan, Jie (2021-09-01)
    Deep Reinforcement Learning (DRL) holds the promise of designing complex robotic controllers automatically. In this talk, I will discuss two different approaches to apply deep reinforcement learning to learn locomotion ...
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    ML@GT Lab presents LAB LIGHTNING TALKS 2020 

    AlRegib, Ghassan; Chau, Duen Horng (Polo); Chava, Sudheer; Cohen, Morris; Davenport, Mark A.; Desai, Deven; Dovrolis, Constantine; Essa, Irfan A.; Gupta, Swati; Huo, Xiaoming; Kira, Zsolt; Li, Jing; Maguluri, Siva Theja; Pananjady, Ashwin; Prakash, B. Aditya; Riedl, Mark; Romberg, Justin K.; Xie, Yao; Zhang, Xiuwei (2020-12-04)
    Labs affiliated with the Machine Learning Center at Georgia Tech (ML@GT) will have the opportunity to share their research interests, work, and unique aspects of their lab in three minutes or less to interested graduate ...
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    AI Information Session 

    Almejo, Anna; Bretan, Mason (2018-04-17)
    In this talk, we will cover general info about Samsung Research America and more specifically the research and projects happening within the Artificial Intelligence team including personal assistants, dialogue systems, ...

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    AuthorAbbeel, Pieter (1)Al-Regib, Ghassan (1)Almejo, Anna (1)Bretan, Mason (1)Chau, Duen Horng (Polo) (1)Chava, Sudheer (1)Cohen, Morris (1)Davenport, Mark A. (1)Desai, Deven (1)Dovrolis, Constantine (1)... View MoreSubject
    Robotics (4)
    Reinforcement learning (3)Machine learning (2)Antenna (1)Artificial intelligence (AI) (1)Computational ophthalmology (1)Data science (1)Deep learning (1)Embodiment (1)Healthcare (1)... View MoreDate Issued2018 (2)2020 (1)2021 (1)Has File(s)Yes (4)
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