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Daniel J. Mankowitz
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I am a Senior Research Scientist at Google Deepmind. In 2018, I completed my PhD in Hierarchical Reinforcement Learning under the supervision of Professor Shie Mannor, at the Technion Israel Institute of Technology. I am the recipient of the 2016 Google PhD Fellowship.
I currently work on solving the key challenges preventing Reinforcement Learning algorithms from working on real-world applications at scale.
I have recently released a Google AI blog post detailing the various challenges of real world RL as well as a suite we have open-sourced to accelerate research toward solving these challenges.
I currently work on solving the key challenges preventing Reinforcement Learning algorithms from working on real-world applications at scale.
I have recently released a Google AI blog post detailing the various challenges of real world RL as well as a suite we have open-sourced to accelerate research toward solving these challenges.
Papers27 papers
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Tom Zahavy, Andre Barreto,Daniel J Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev,Satinder Singh
ICLR 2021, (2021)
Daniel J. Mankowitz,Dan A. Calian, Rae Jeong, Cosmin Paduraru,Nicolas Heess, Sumanth Dathathri,Martin Riedmiller,Timothy Mann
Ziyu Wang,Caglar Gulcehre,Alexander Novikov, Thomas Paine, Sergio Gómez,Konrad Zolna, Rishabh Agarwal,Josh Merel,Daniel Mankowitz, Cosmin Paduraru,Gabriel Dulac-Arnold, Jerry Li
NIPS 2020, (2020)
Daniel J. Mankowitz, Nir Levine, Rae Jeong,Abbas Abdolmaleki,Jost Tobias Springenberg,Yuanyuan Shi, Jackie Kay,Todd Hester,Timothy Mann,Martin Riedmiller
ICLR, (2020)
Caglar Gulcehre,Ziyu Wang,Alexander Novikov,Tom Le Paine, Sergio Gómez Colmenarejo,Konrad Zolna, Rishabh Agarwal,Josh Merel,Daniel Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li
Dulac-Arnold Gabriel,Levine Nir,Mankowitz Daniel J., Li Jerry, Paduraru Cosmin, Gowal Sven,Hester Todd
Jost Tobias Springenberg,Nicolas Heess,Daniel Mankowitz,Josh Merel, Arunkumar Byravan,Abbas Abdolmaleki, Jackie Kay,Jonas Degrave, Julian Schrittwieser,Yuval Tassa,Jonas Buchli, Dan Belov
arXiv: Learning, (2019)
international conference on learning representations, (2019)
CoRR, (2019)
UAI, (2019): 228
arXiv: Learning, (2019)
Diana Borsa, André Barreto, John Quan,Daniel J. Mankowitz,Rémi Munos,Hado van Hasselt,David Silver,Tom Schaul
arXiv: Learning, (2018)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 3562-3573
Daniel J. Mankowitz, Augustin Zídek, André Barreto, Dan Horgan,Matteo Hessel, John Quan,Junhyuk Oh,Hado van Hasselt,David Silver,Tom Schaul
arXiv: Learning, (2018)
André Barreto, Diana Borsa, John Quan,Tom Schaul,David Silver,Matteo Hessel,Daniel J. Mankowitz, Augustin Zídek,Rémi Munos
ICML, pp.510-519, (2018)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017): 3135-3145
AAAI, (2017): 1553-1561
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