Alexander Trott

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 18

Top Topics

State Abstraction

Question Answering

Multiarmed Bandit

Top Venues

Publications

Xintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, David C. Parkes
Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study. WWW (2023)
Jacob Portes, Alexander Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining. NeurIPS (2023)
Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng
Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. AAMAS (2023)
Xintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, David C. Parkes
Using Reinforcement Learning to Study Platform Economies under Market Shocks. CoRR (2022)
Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng
Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. CoRR (2022)
Tong Mu, Stephan Zheng, Alexander Trott
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal. CoRR (2022)
Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. CoRR (2021)
Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, Stephan Zheng
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist. CoRR (2021)
Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. ICML (2020)
Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. CoRR (2020)
Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. CoRR (2020)
Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong
Competitive Experience Replay. CoRR (2019)
Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong
Competitive experience replay. ICLR (Poster) (2019)
Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. CoRR (2019)
Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. CoRR (2019)
Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. NeurIPS (2019)
Alexander Trott, Caiming Xiong, Richard Socher
Interpretable Counting for Visual Question Answering. ICLR (Poster) (2018)
Alexander Trott, Caiming Xiong, Richard Socher
Interpretable Counting for Visual Question Answering. CoRR (2017)