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Satinder Singh
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My main research interest is in the old-fashioned goal of Artificial Intelligence (AI), that of building autonomous agents that can learn to be broadly competent in complex, dynamic, and uncertain environments. The field of reinforcement learning (RL) has focused on this goal and accordingly my deepest contributions are in RL.
A very recent effort combines Deep Learning and Reinforcement Learning.
Papers360 papers
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Tom Zahavy, Andre Barreto,Daniel J Mankowitz,Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev,Satinder Singh
ICLR 2021, (2021)
national conference on artificial intelligence, (2020)
NIPS 2020, (2020)
Neuropsychologia, pp.107657, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
Autonomous Agents and Multi-Agent Systems, no. 1 (2020): 1-35
NIPS 2020, (2020)
Ian Osband, Yotam Doron,Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney,Tor Lattimore, Csaba Szepezvari,Satinder Singh,Benjamin Van Roy,Richard Sutton
ICLR, (2020)
national conference on artificial intelligence, (2020)
AISTATS, pp.2010-2020, (2019)
Anna Harutyunyan,Will Dabney, Thomas Mesnard,Nicolas Heess, Mohammad G. Azar,Bilal Piot,Hado van Hasselt,Satinder Singh,Greg Wayne,Doina Precup,Remi Munos
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019)
RANLP, pp.980-993, (2019)
Vivek Veeriah, Matteo Hessel,Zhongwen Xu, Richard Lewis,Janarthanan Rajendran, Junhyuk Oh,Hado van Hasselt,David Silver,Satinder Singh
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019)
Vivek Veeriah,Zhongwen Xu,Matteo Hessel, Janarthanan Rajendran, Richard L. Lewis,Junhyuk Oh,Hado P. van Hasselt,David Silver,Satinder Singh
NeurIPS, pp.9306-9317, (2019)
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