Matthew Hoffman

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 3

Top Topics

Reinforcement Learning

Optimal Control

Top Venues

Trans. Mach. Learn. Res.

Publications

Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet
An empirical study of implicit regularization in deep offline RL. Trans. Mach. Learn. Res. 2022 (2022)
Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas
RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. NeurIPS (2020)
Yutian Chen, Abram L. Friesen, Feryal Behbahani, Arnaud Doucet, David Budden, Matthew Hoffman, Nando de Freitas
Modular Meta-Learning with Shrinkage. NeurIPS (2020)
Matthew Hoffman, Eric Brochu, Nando de Freitas
Portfolio Allocation for Bayesian Optimization. UAI (2011)
Matthew Hoffman, Nando de Freitas, Arnaud Doucet, Jan Peters
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. AISTATS (2009)