Matthew W. Hoffman

基本信息

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职业迁徙

个人简介

My research there focused on using inference-based approaches to solve problems in sequential decision making. I also wrote some software for Bayesian optimization that you might find useful.

研究兴趣

论文共 48 篇作者统计合作学者相似作者

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Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning

Patrick Emedom-Nnamdi,Abram L. Friesen,Bobak Shahriari,Nando de Freitas,Matt W. Hoffman

CoRR (2023)

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Sequential Monte Carlo Learning for Time Series Structure Discovery

Feras A. Saad,Brian J. Patton,Matthew D. Hoffman,Rif A. Saurous,Vikash K. Mansinghka

ICML 2023 (2023): 29473-29489

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Acme: A Research Framework for Distributed Reinforcement Learning

Matthew W. Hoffman,Bobak Shahriari,John Aslanides,Gabriel Barth-Maron, Nikola Momchev, Danila Sinopalnikov,Piotr Stańczyk, Sabela Ramos, Anton Raichuk, Damien Vincent, Léonard Hussenot, Robert Dadashi,

arxiv（2022）

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201

Revisiting Gaussian mixture critic in off-policy reinforcement learning: a sample-based approach