Matt Barnes

21 papers A* 4A 4C 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A* conf
Imitating Language via Scalable Inverse Reinforcement Learning.
NeurIPS
Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024 J jnl
Imitating Language via Scalable Inverse Reinforcement Learning.
CoRR
Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024 A* conf
Massively Scalable Inverse Reinforcement Learning in Google Maps.
ICLR
Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
2023 J jnl
Massively Scalable Inverse Reinforcement Learning in Google Maps.
CoRR
Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
2022 J jnl
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services.
CoRR
Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo
2021 C conf
Imitation Learning as f-Divergence Minimization.
WAFR
Liyiming Ke, Sanjiban Choudhury, Matt Barnes, Wen Sun, Gilwoo Lee, Siddhartha S. Srinivasa
2020 A conf
Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items.
IROS
Ethan K. Gordon, Xiang Meng, Tapomayukh Bhattacharjee, Matt Barnes, Siddhartha S. Srinivasa
2020 J jnl
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks.
CoRR
Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion
2020 — conf
Learning from Interventions: Human-robot interaction as both explicit and implicit feedback.
Robotics: Science and Systems
Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa
2019 J jnl
Imitation Learning as f-Divergence Minimization.
CoRR
Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
2019 J jnl
Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition.
CoRR
Ethan K. Gordon, Xiang Meng, Matt Barnes, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa
2019 A* conf
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation.
NeurIPS
Samuel K. Ainsworth, Matt Barnes, Siddhartha S. Srinivasa
2019 J jnl
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation.
CoRR
Samuel K. Ainsworth, Matt Barnes, Siddhartha S. Srinivasa
2019 A conf
On the Interaction Effects Between Prediction and Clustering.
AISTATS
Matt Barnes, Artur Dubrawski
2018 J jnl
Dependency Leakage: Analysis and Scalable Estimators.
CoRR
Matt Barnes, Artur Dubrawski
2017 A conf
Performance Bounds for Graphical Record Linkage.
AISTATS
Rebecca C. Steorts, Matt Barnes, Willie Neiswanger
2017 J jnl
Performance Bounds for Graphical Record Linkage.
CoRR
Rebecca C. Steorts, Matt Barnes, Willie Neiswanger
2017 A conf
The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters.
UAI
Matt Barnes, Artur Dubrawski
2015 J jnl
A Practioner's Guide to Evaluating Entity Resolution Results.
CoRR
Matt Barnes
2015 A* conf
Leveraging Common Structure to Improve Prediction across Related Datasets.
AAAI
Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
2015 J jnl
Performance Bounds for Pairwise Entity Resolution.
CoRR
Matt Barnes, Kyle Miller, Artur Dubrawski