Acme: A Research Framework for Distributed Reinforcement Learning

Authors: Hoffman, Matthew W., Shahriari, Bobak, Aslanides, John, Barth-Maron, Gabriel, Momchev, Nikola, Sinopalnikov, Danila, Stańczyk, Piotr, Ramos, Sabela, Raichuk, Anton, Vincent, Damien, Hussenot, Léonard, Dadashi, Robert, Dulac-Arnold, Gabriel, Orsini, Manu, Jacq, Alexis, Ferret, Johan, Vieillard, Nino, Ghasemipour, Seyed Kamyar Seyed, Girgin, Sertan, Pietquin, Olivier, Behbahani, Feryal, Norman, Tamara, Abdolmaleki, Abbas, Cassirer, Albin, Yang, Fan, Baumli, Kate, Henderson, Sarah, Friesen, Abe, Haroun, Ruba, Novikov, Alex, Colmenarejo, Sergio Gómez, Cabi, Serkan, Gulcehre, Caglar, Paine, Tom Le, Srinivasan, Srivatsan, Cowie, Andrew, Wang, Ziyu, Piot, Bilal, de Freitas, Nando

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2006.00979

Modular Meta-Learning with Shrinkage

Authors: Chen, Yutian, Friesen, Abram L., Behbahani, Feryal, Doucet, Arnaud, Budden, David, Hoffman, Matthew W., de Freitas, Nando

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1909.05557

Large-Scale Visual Speech Recognition

Authors: Shillingford, Brendan, Assael, Yannis, Hoffman, Matthew W., Paine, Thomas, Hughes, Cían, Prabhu, Utsav, Liao, Hank, Sak, Hasim, Rao, Kanishka, Bennett, Lorrayne, Mulville, Marie, Coppin, Ben, Laurie, Ben, Senior, Andrew, de Freitas, Nando

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/1807.05162

Distributed Distributional Deterministic Policy Gradients

Authors: Barth-Maron, Gabriel, Hoffman, Matthew W., Budden, David, Dabney, Will, Horgan, Dan, TB, Dhruva, Muldal, Alistair, Heess, Nicolas, Lillicrap, Timothy

Subject Terms: Computer Science - Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1804.08617

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously

Authors: Cabi, Serkan, Colmenarejo, Sergio Gómez, Hoffman, Matthew W., Denil, Misha, Wang, Ziyu, de Freitas, Nando

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/1707.03300

Learned Optimizers that Scale and Generalize

Authors: Wichrowska, Olga, Maheswaranathan, Niru, Hoffman, Matthew W., Colmenarejo, Sergio Gomez, Denil, Misha, de Freitas, Nando, Sohl-Dickstein, Jascha

Subject Terms: Computer Science - Learning, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1703.04813

Learning to Learn without Gradient Descent by Gradient Descent

Authors: Chen, Yutian, Hoffman, Matthew W., Colmenarejo, Sergio Gomez, Denil, Misha, Lillicrap, Timothy P., Botvinick, Matt, de Freitas, Nando

Subject Terms: Statistics - Machine Learning, Computer Science - Learning

Access URL: http://arxiv.org/abs/1611.03824

Learning to learn by gradient descent by gradient descent

Authors: Andrychowicz, Marcin, Denil, Misha, Gomez, Sergio, Hoffman, Matthew W., Pfau, David, Schaul, Tom, Shillingford, Brendan, de Freitas, Nando

Subject Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Learning

Access URL: http://arxiv.org/abs/1606.04474

A General Framework for Constrained Bayesian Optimization using Information-based Search

Authors: Hernández-Lobato, José Miguel, Gelbart, Michael A., Adams, Ryan P., Hoffman, Matthew W., Ghahramani, Zoubin

Subject Terms: Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1511.09422

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints

Authors: Hernández-Lobato, José Miguel, Gelbart, Michael A., Hoffman, Matthew W., Adams, Ryan P., Ghahramani, Zoubin

Subject Terms: Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1502.05312

An Entropy Search Portfolio for Bayesian Optimization

Authors: Shahriari, Bobak, Wang, Ziyu, Hoffman, Matthew W., Bouchard-Côté, Alexandre, de Freitas, Nando

Subject Terms: Statistics - Machine Learning, Computer Science - Learning

Access URL: http://arxiv.org/abs/1406.4625

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

Authors: Hernández-Lobato, José Miguel, Hoffman, Matthew W., Ghahramani, Zoubin

Subject Terms: Statistics - Machine Learning, Computer Science - Learning

Access URL: http://arxiv.org/abs/1406.2541

Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization

Authors: Hoffman, Matthew W., Shahriari, Bobak, de Freitas, Nando

Subject Terms: Statistics - Machine Learning, Computer Science - Learning

Access URL: http://arxiv.org/abs/1303.6746

Portfolio Allocation for Bayesian Optimization

Authors: Brochu, Eric, Hoffman, Matthew W., de Freitas, Nando

Subject Terms: Computer Science - Learning, G.1.6, G.3, I.2.6

Access URL: http://arxiv.org/abs/1009.5419

A probabilistic model of gaze imitation and shared attention

Authors: Hoffman, Matthew W., Grimes, David B., Shon, Aaron P., Rao, Rajesh P.N.

Source: In Neural Networks 2006 19(3):299-310

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Cryptic deletion of EGR1 in association with a novel balanced t(5;22)(q31;q11.2) in a patient with myelodysplastic syndrome

Authors: Hoffman, Matthew W., Janney, Stephen, Batanian, Jacqueline R.

Source: In Cancer Genetics and Cytogenetics 2009 191(2):106-108

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Regularized Least Squares Temporal Difference Learning with Nested ℓ2 and ℓ1 Penalization.

Authors: Hoffman, Matthew W., Lazaric, Alessandro, Ghavamzadeh, Mohammad, Munos, Rémi

Source: Recent Advances in Reinforcement Learning (9783642299452); 2012, p102-114, 13p

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