Khurram Javed - Real-time Reinforcement Learning using Dynamic Networks
Автор: Cohere
Загружено: 2024-06-03
Просмотров: 642
Abstract: In this talk, I will share our progress on developing algorithms that allow agents to learn continually and in real-time on edge devices.
About the speaker: I am a PhD student at the RLAI lab at University of Alberta advised by Prof. Rich Sutton. I'm interested in building algorithms for real-time continual learning for achieving goals in big worlds. In the past, I did my M.Sc with Prof. Martha White on Meta-learning representations for Continual learning, worked at MILA with Prof. Yoshua Bengio on Causality and at TUKL-SEECS with Prof. Faisal Shafait on document analysis and continual learning. I also represented my home country at 55th International Mathematical Olympiad , and XXVI Asian Pacific Mathematical Olympiad, receiving an honorable-mention and a bronze medal respectively.
This session is brought to you by the Cohere For AI Open Science Community - a space where ML researchers, engineers, linguists, social scientists, and lifelong learners connect and collaborate with each other. Thank you to our Community Leads for organizing and hosting this event.
If you’re interested in sharing your work, we welcome you to join us! Simply fill out the form at https://forms.gle/ALND9i6KouEEpCnz6 to express your interest in becoming a speaker.
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