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个人简介
Nicolas Heess mainly focuses on Artificial intelligence, Reinforcement learning, Control, Set and Machine learning. His Artificial intelligence research includes themes of Structure and Computation. His Reinforcement learning research is multidisciplinary, incorporating elements of Domain, Robot, Image resolution and Contextual image classification.
研究兴趣
论文共 179 篇作者统计合作学者相似作者
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Jacky Liang,Fei Xia,Wenhao Yu,Andy Zeng, Montserrat Gonzalez Arenas,Maria Attarian,Maria Bauza, Matthew Bennice,Alex Bewley, Adil Dostmohamed,Chuyuan Kelly Fu,Nimrod Gileadi,
CoRR (2024)
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arxiv(2024)
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Soroush Nasiriany,Fei Xia,Wenhao Yu,Ted Xiao,Jacky Liang, Ishita Dasgupta,Annie Xie,Danny Driess,Ayzaan Wahid, Zhuo Xu,Quan Vuong,Tingnan Zhang,
CoRR (2024)
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Zhe Wang,Petar Veličković,Daniel Hennes,Nenad Tomašev, Laurel Prince,Michael Kaisers,Yoram Bachrach,Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman,Ian Graham,
Nature Communicationsno. 1 (2024): 1-13
Jake Bruce,Michael Dennis,Ashley Edwards, Jack Parker-Holder, Yuge Shi,Edward Hughes,Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps,Yusuf Aytar, Sarah Bechtle,
CoRR (2024)
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ICLR 2024 (2023)
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