Alexander R Trott

Researcher, MosaicML

Joined

October 2017

Names

Alexander R Trott

Emails

****@salesforce.com (Confirmed)

****@mosaicml.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Researcher

MosaicML (mosaicml.com)

2022 – Present

Research Scientist

Salesforce Research (salesforce.com)

2016 – 2022

PhD student

Harvard University (harvard.edu)

2010 – 2016

Advisors, Relations & Conflicts

No relations added

Expertise

Reinforcement Learning

2016 – Present

Computer Vision

2014 – 2018

Neuroscience

2006 – 2016

Publications

KARL: Knowledge Agents via Reinforcement Learning
Jonathan Daniel Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander R Trott, Jacob Portes, Abhay Gupta, Pallavi Koppol, Ashutosh Baheti, Sean Kulinski, Ivan Zhou, Irene Dea, Krista Opsahl-Ong, Simon Favreau-Lessard, Sean Owen, Jose Javier Gonzalez Ortiz, Arnav Singhvi, Xabi Andrade, Xinyi Wang, Kartik Sreenivasan et al. (6 additional authors not shown)
- OpenReview Archive Direct Upload
- Readers: Everyone
LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms
Aditi Jha, Sam Havens, Jeremy Dohmann, Alexander Trott, Jacob Portes
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
MosaicBERT: How to Train BERT with a Lunch Money Budget
Jacob Portes, Alexander R Trott, Sam Havens, DANIEL KING, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle
- ES-FoMO 2023 Poster
- Readers: Everyone
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining
Jacob Portes, Alexander R Trott, Sam Havens, DANIEL KING, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle
- NeurIPS 2023 poster
- Readers: Everyone
Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning
Tong Mu, Stephan Zheng, Alexander R Trott
- Accepted by TMLR
- Readers: Everyone
Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning
Tong Mu, Stephan Zheng, Alexander R Trott
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
Finding General Equilibria in Many-Agent Economic Simulations using Deep Reinforcement Learning
Michael Curry, Alexander R Trott, Soham Phade, Yu Bai, Stephan Zheng
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
ERMAS: Learning Policies Robust to Reality Gaps in Multi-Agent Simulations
Eric Zhao, Alexander R Trott, Caiming Xiong, Stephan Zheng
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

Co-Authors

View all 39 co-authors