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Bobak Shahriari
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2020 – today
- 2023
- [i9]Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matthew W. Hoffman:
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning. CoRR abs/2305.03870 (2023) - 2022
- [i8]Bobak Shahriari, Abbas Abdolmaleki, Arunkumar Byravan, Abe Friesen, Siqi Liu, Jost Tobias Springenberg, Nicolas Heess, Matt Hoffman, Martin A. Riedmiller:
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach. CoRR abs/2204.10256 (2022) - 2021
- [i7]Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvári, Raia Hadsell, Nicolas Heess, Martin A. Riedmiller:
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning. CoRR abs/2106.08199 (2021) - 2020
- [c5]Çaglar Gülçehre, Tom Le Paine, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team:
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. ICLR 2020 - [c4]Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh Merel, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas:
Critic Regularized Regression. NeurIPS 2020 - [i6]Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal M. P. Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alexander Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Çaglar Gülçehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas:
Acme: A Research Framework for Distributed Reinforcement Learning. CoRR abs/2006.00979 (2020) - [i5]Ziyu Wang, Alexander Novikov, Konrad Zolna, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Josh Merel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas:
Critic Regularized Regression. CoRR abs/2006.15134 (2020)
2010 – 2019
- 2019
- [i4]Tom Le Paine, Çaglar Gülçehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team:
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. CoRR abs/1909.01387 (2019) - 2017
- [j2]Sebastián Domínguez, Nilima Nigam, Bobak Shahriari:
A combined finite element and Bayesian optimization framework for shape optimization in spectral geometry. Comput. Math. Appl. 74(11): 2874-2896 (2017) - 2016
- [j1]Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, Nando de Freitas:
Taking the Human Out of the Loop: A Review of Bayesian Optimization. Proc. IEEE 104(1): 148-175 (2016) - [c3]Bobak Shahriari, Alexandre Bouchard-Côté, Nando de Freitas:
Unbounded Bayesian Optimization via Regularization. AISTATS 2016: 1168-1176 - [c2]Paul F. Tupper, Bobak Shahriari:
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs? CogSci 2016 - [i3]Paul F. Tupper, Bobak Shahriari:
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs? CoRR abs/1605.04002 (2016) - 2014
- [c1]Matthew W. Hoffman, Bobak Shahriari, Nando de Freitas:
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. AISTATS 2014: 365-374 - [i2]Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman, Alexandre Bouchard-Côté, Nando de Freitas:
An Entropy Search Portfolio for Bayesian Optimization. CoRR abs/1406.4625 (2014) - 2013
- [i1]Matthew W. Hoffman, Bobak Shahriari, Nando de Freitas:
Best arm identification via Bayesian gap-based exploration. CoRR abs/1303.6746 (2013)
Coauthor Index
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last updated on 2023-09-27 22:48 CEST by the dblp team
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