Brandon Amos
RESEARCH SCIENTIST | NEW YORK CITY, UNITED STATES
Brandon is a research scientist at Facebook AI Research (FAIR), working on machine learning, reinforcement learning, optimization, and control. His current focus is specialized modeling components to help add domain-specific priors. He earned his Ph.D. at Carnegie Mellon University, where he studied optimization-based modeling components for learning and control.
Research Areas
Brandon's Publications
December 11, 2023
REINFORCEMENT LEARNING
CORE MACHINE LEARNING
TaskMet: Task-driven Metric Learning for Model Learning
Dishank Bansal, Ricky Chen, Mustafa Mukadam, Brandon Amos
December 11, 2023
July 20, 2023
July 20, 2023
July 20, 2023
July 20, 2023
June 21, 2023
REINFORCEMENT LEARNING
CORE MACHINE LEARNING
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
June 21, 2023
October 25, 2022
AR/VR
RESEARCH
Theseus: A Library for Differentiable Nonlinear Optimization
Mustafa Mukadam, Austin Wang, Brandon Amos, Daniel DeTone, Jing Dong, Joe Ortiz, Luis Pineda, Maurizio Monge, Ricky Chen, Shobha Venkataraman, Stuart Anderson, Taosha Fan, Paloma Sodhi
October 25, 2022
June 21, 2022
Matching Normalizing Flows and Probability Paths on Manifolds
Yaron Lipman, Brandon Amos, Max Nickel, Ricky Chen, Samuel Cohen, Aditya Grover, Heli Ben-Hamu, Joey Bose
June 21, 2022
July 09, 2021
July 09, 2021
April 20, 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Luis Pineda, Amy Zhang, Brandon Amos, Roberto Calandra, Nathan Lambert
April 20, 2021
December 12, 2020
CORE MACHINE LEARNING
Fit The Right NP-Hard Problem: End-to-end Learning of Integer Programming Constraints
Brandon Amos, Anselm Paulus, Georg Martius, Michal Rolinek, Vit Musil
December 12, 2020
December 11, 2020
December 11, 2020
July 06, 2020
July 06, 2020
May 01, 2020
ML APPLICATIONS
Objective Mismatch in Model-based Reinforcement Learning
Roberto Calandra, Brandon Amos, Nathan Owen Lambert, Omry Yadan
May 01, 2020
November 01, 2019
RESEARCH
NLP
Differentiable Convex Optimization Layers
Brandon Amos, Akshay Agrawal, Shane Barratt, Stephen Boyd, Steven Diamond, Zico Kolter
November 01, 2019
Foundational models
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Foundational models
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