基本信息
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职业迁徙
个人简介
My research focuses on deep reinforcement learning. During my PhD, I was fortunate to spend time as a research intern at DeepMind, Facebook AI Research and Microsoft Research.
I am interested in designing machine learning algorithms that can make robust sequential decisions in complex environments. My research spans various problems in reinforcement learning including exploration, fast adaptation to new environments, and multi-agent learning. My current focus is on understanding and improving the generalization and robustness of reinforcement learning agents.
I'm always looking for collaborations, so if you're interested in working with me, please don't hesitate to get in touch! I'm also happy to advise masters or undergrad students on projects.
I am interested in designing machine learning algorithms that can make robust sequential decisions in complex environments. My research spans various problems in reinforcement learning including exploration, fast adaptation to new environments, and multi-agent learning. My current focus is on understanding and improving the generalization and robustness of reinforcement learning agents.
I'm always looking for collaborations, so if you're interested in working with me, please don't hesitate to get in touch! I'm also happy to advise masters or undergrad students on projects.
研究兴趣
论文共 36 篇作者统计合作学者相似作者
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ICLR 2024 (2024)
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Mikayel Samvelyan, Sharath Chandra Raparthy,Andrei Lupu,Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao,Minqi Jiang, Jack Parker-Holder,Jakob Foerster,Tim Rocktäschel,Roberta Raileanu
CoRR (2024)
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CoRR (2023)
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arXiv (Cornell University) (2023)
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CoRR (2023)
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