Alexander Trott

19 papers A* 4A 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KARL: Knowledge Agents via Reinforcement Learning. CoRR Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander Trott, Jacob P. 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, Cindy Wang, Kartik Sreenivasan, Sam Havens, Jialu Liu, Peyton DeNiro, Wen Sun, Michael Bendersky, Jonathan Frankle
2023	A	`conf`	Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. AAMAS Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng
2023	A*	`conf`	MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining. NeurIPS Jacob P. Portes, Alexander Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle
2023	A*	`conf`	Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study. WWW Xintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, David C. Parkes
2022	J	`jnl`	Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. CoRR Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng
2022	J	`jnl`	Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal. CoRR Tong Mu, Stephan Zheng, Alexander Trott
2022	J	`jnl`	Using Reinforcement Learning to Study Platform Economies under Market Shocks. CoRR Xintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, David C. Parkes
2021	J	`jnl`	Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist. CoRR Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, Stephan Zheng
2021	J	`jnl`	The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. CoRR Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher
2020	A*	`conf`	Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. ICML Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres
2020	J	`jnl`	Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. CoRR Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres
2020	J	`jnl`	The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. CoRR Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher
2019	J	`jnl`	Competitive Experience Replay. CoRR Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong
2019	—	`conf`	Competitive experience replay. ICLR (Poster) Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong
2019	A*	`conf`	Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. NeurIPS Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
2019	J	`jnl`	Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. CoRR Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
2019	J	`jnl`	Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. CoRR Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
2018	—	`conf`	Interpretable Counting for Visual Question Answering. ICLR (Poster) Alexander Trott, Caiming Xiong, Richard Socher
2017	J	`jnl`	Interpretable Counting for Visual Question Answering. CoRR Alexander Trott, Caiming Xiong, Richard Socher