NF
Nando de Freitas
cs.LGstat.MLcs.AIcs.NEcs.CVstat.COcs.CLcs.ROcs.IRcs.MA
On Valency
published · living versionsW_z8p2yx7z·v1 · currentpublished
Dueling Network Architectures for Deep Reinforcement Learning
with Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt +1
1 version
Preprints & journals
98 papers in the corpus · 2001–2024Imagen 32408.07009v3 · Imagen-Team-Google: Jason Baldridge, Jakob Bauer, Mukul Bhutani et al.2024 · 4 citationsarXiv
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models2402.19427v1 · Soham De, Samuel L. Smith, Anushan Fernando et al.2024 · 8 citationsarXiv
Genie: Generative Interactive Environments2402.15391v1 · Jake Bruce, Michael Dennis, Ashley Edwards et al.2024 · 23 citationsarXiv
Reinforced Self-Training (ReST) for Language Modeling2308.08998v2 · Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan et al.2023 · 18 citationsarXiv
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning2308.03526v1 · Michael Mathieu, Sherjil Ozair, Srivatsan Srinivasan et al.2023 · 4 citationsarXiv
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning2305.03870v2 · Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari et al.2023 · 0 citationsarXiv
Vision-Language Models as Success Detectors2303.07280v1 · Yuqing Du, Ksenia Konyushkova, Misha Denil et al.2023 · 21 citationsarXiv
Competition-level code generation with AlphaCode.36480631 · Li, Yujia, Choi, David, Chung, Junyoung et al.2022 · 1,041 citationsScience (New York, N.Y.). 2022;378(6624):1092-1097
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer2210.04971v2 · Lucio M. Dery, Abram L. Friesen, Nando De Freitas et al.2022 · 0 citationsarXiv
Towards Learning Universal Hyperparameter Optimizers with Transformers2205.13320v2 · Yutian Chen, Xingyou Song, Chansoo Lee et al.2022 · 24 citationsarXiv
A Generalist Agent2205.06175v3 · Scott Reed, Konrad Zolna, Emilio Parisotto et al.2022 · 63 citationsTransactions on Machine Learning Research, 11/2022, https://openreview.net/forum?id=1ikK0kHjvj
Restoring and attributing ancient texts using deep neural networks.35264762 · Assael, Yannis, Sommerschield, Thea, Shillingford, Brendan et al.2022 · 210 citationsNature. 2022;603(7900):280-283
Shaking the foundations: delusions in sequence models for interaction and control2110.10819v1 · Pedro A. Ortega, Markus Kunesch, Gr'egoire Del'etang et al.2021 · 23 citationsarXiv
Active Offline Policy Selection2106.10251v4 · Ksenia Konyushkova, Yutian Chen, Tom Le Paine et al.2021 · 3 citationsarXiv
On Instrumental Variable Regression for Deep Offline Policy Evaluation2105.10148v2 · Yutian Chen, Liyuan Xu, Caglar Gulcehre et al.2021 · 4 citationsJournal of Machine Learning Research 23 (2022) 1-41
Regularized Behavior Value Estimation2103.09575v1 · Caglar Gulcehre, Sergio G'omez Colmenarejo, Ziyu Wang et al.2021 · 11 citationsarXiv
Semi-supervised reward learning for offline reinforcement learning2012.06899v1 · Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar et al.2020 · 7 citationsarXiv
Offline Learning from Demonstrations and Unlabeled Experience2011.13885v1 · Konrad Zolna, Alexander Novikov, Ksenia Konyushkova et al.2020 · 14 citationsarXiv
Large-scale multilingual audio visual dubbing2011.03530v1 · Yi Yang, Brendan Shillingford, Yannis Assael et al.2020 · 14 citationsarXiv
Learning Deep Features in Instrumental Variable Regression2010.07154v4 · Liyuan Xu, Yutian Chen, Siddarth Srinivasan et al.2020 · 17 citationsarXiv
Learning Compositional Neural Programs for Continuous Control2007.13363v2 · Thomas Pierrot, Nicolas Perrin, Feryal Behbahani et al.2020 · 2 citationsarXiv
Hyperparameter Selection for Offline Reinforcement Learning2007.09055v1 · Tom Le Paine, Cosmin Paduraru, Andrea Michi et al.2020 · 62 citationsarXiv
Critic Regularized Regression2006.15134v3 · Ziyu Wang, Alexander Novikov, Konrad Zolna et al.2020 · 128 citationsarXiv
Task-Relevant Adversarial Imitation Learning1910.01077v2 · Konrad Zolna, Scott Reed, Alexander Novikov et al.2019 · 21 citationsarXiv
Scaling data-driven robotics with reward sketching and batch reinforcement learning1909.12200v3 · Serkan Cabi, Sergio G'omez Colmenarejo, Alexander Novikov et al.2019 · 91 citationsRobotics: Science and Systems Conference 2020
Modular Meta-Learning with Shrinkage1909.05557v4 · Yutian Chen, Abram L. Friesen, Feryal Behbahani et al.2019 · 14 citationsarXiv
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems1909.01387v1 · Tom Le Paine, Caglar Gulcehre, Bobak Shahriari et al.2019 · 49 citationsarXiv
Learning Compositional Neural Programs with Recursive Tree Search and Planning1905.12941v2 · Thomas Pierrot, Guillaume Ligner, Scott Reed et al.2019 · 20 citationsarXiv
Meta-learning of Sequential Strategies1905.03030v2 · Pedro A. Ortega, Jane X. Wang, Mark Rowland et al.2019 · 47 citationsarXiv
Bayesian Optimization in AlphaGo1812.06855v1 · Yutian Chen, Aja Huang, Ziyu Wang et al.2018 · 80 citationsarXiv
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning1810.08647v4 · Natasha Jaques, Angeliki Lazaridou, Edward Hughes et al.2018 · 289 citationsarXiv
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL1810.05017v1 · Tom Le Paine, Sergio G'omez Colmenarejo, Ziyu Wang et al.2018 · 17 citationsarXiv
Sample Efficient Adaptive Text-to-Speech1809.10460v3 · Yutian Chen, Yannis Assael, Brendan Shillingford et al.2018 · 117 citationsarXiv
Large-Scale Visual Speech Recognition1807.05162v3 · Brendan Shillingford, Yannis Assael, Matthew W. Hoffman et al.2018 · 164 citationsarXiv
Playing hard exploration games by watching YouTube1805.11592v2 · Yusuf Aytar, Tobias Pfaff, David Budden et al.2018 · 92 citationsarXiv
Hyperbolic Attention Networks1805.09786v1 · Caglar Gulcehre, Misha Denil, Mateusz Malinowski et al.2018 · 125 citationsarXiv
Learning Awareness Models1804.06318v1 · Brandon Amos, Laurent Dinh, Serkan Cabi et al.2018 · 20 citationsarXiv
Compositional Obverter Communication Learning From Raw Visual Input1804.02341v1 · Edward Choi, Angeliki Lazaridou, Nando de Freitas2018 · 49 citationsarXiv
Distinct ECG Phenotypes Identified in Hypertrophic Cardiomyopathy Using Machine Learning Associate With Arrhythmic Risk Markers.29593570 · Lyon, Aurore, Ariga, Rina, Mincholé, Ana et al.2025 · 86 citationsFrontiers in physiology. 2018;9:213
Reinforcement and Imitation Learning for Diverse Visuomotor Skills1802.09564v2 · Yuke Zhu, Ziyu Wang, Josh Merel et al.2018 · 260 citationsarXiv
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 20171711.08378v1 · M. Botvinick, D.G.T. Barrett, P. Battaglia et al.2017 · 5 citationsarXiv
Cortical microcircuits as gated-recurrent neural networks1711.02448v2 · Rui Ponte Costa, Yannis M. Assael, Brendan Shillingford et al.2017 · 45 citationsarXiv
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions1710.10304v4 · Scott Reed, Yutian Chen, Thomas Paine et al.2017 · 46 citationsarXiv
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously1707.03300v1 · Serkan Cabi, Sergio G'omez Colmenarejo, Matthew W. Hoffman et al.2017 · 21 citationsarXiv
Robust Imitation of Diverse Behaviors1707.02747v2 · Ziyu Wang, Josh Merel, Scott Reed et al.2017 · 125 citationsarXiv
Programmable Agents1706.06383v1 · Misha Denil, Sergio G'omez Colmenarejo, Serkan Cabi et al.2017 · 11 citationsarXiv
Learned Optimizers that Scale and Generalize1703.04813v4 · Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman et al.2017 · 147 citationsarXiv
Parallel Multiscale Autoregressive Density Estimation1703.03664v1 · Scott Reed, Aaron van den Oord, Nal Kalchbrenner et al.2017 · 138 citationsarXiv
Building machines that learn and think for themselves.29342685 · Botvinick, Matthew, Barrett, David G T, Battaglia, Peter et al.2019 · 54 citationsThe Behavioral and brain sciences. 2017;40:e255
Learning to Learn without Gradient Descent by Gradient Descent1611.03824v6 · Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo et al.2016 · 183 citationsarXiv
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