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ORCIDAlexander Trott
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2020 – today
- 2023
[c8]Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng:
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents. AAAI 2023: 11781-11789- [c7]Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng:
Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. AAMAS 2023: 2760-2762 - [c6]Jacob P. 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 - [c5]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: 3592-3602 - [i14]Aditi Jha, Sam Havens, Jeremy Dohmann, Alex Trott, Jacob P. Portes:
LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms. CoRR abs/2311.13133 (2023) - [i13]Jacob P. Portes, Alex Trott, Sam Havens, Daniel King, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle:
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining. CoRR abs/2312.17482 (2023) - 2022
- [j1]Tong Mu, Stephan Zheng, Alexander R. Trott:
Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022) - [i12]Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng:
Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. CoRR abs/2201.01163 (2022) - [i11]Tong Mu, Stephan Zheng, Alexander Trott:
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal. CoRR abs/2202.01691 (2022) - [i10]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 abs/2203.13395 (2022) - 2021
- [i9]Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng:
ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations. CoRR abs/2106.05492 (2021) - [i8]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 abs/2108.02755 (2021) - [i7]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 abs/2108.02904 (2021) - 2020
- [c4]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: 1317-1327 - [i6]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 abs/2002.03647 (2020) - [i5]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 abs/2004.13332 (2020)
2010 – 2019
- 2019
- [c3]Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive experience replay. ICLR (Poster) 2019 - [c2]Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. NeurIPS 2019: 10376-10386 - [i4]Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive Experience Replay. CoRR abs/1902.00528 (2019) - [i3]Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. CoRR abs/1907.00664 (2019) - [i2]Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. CoRR abs/1911.01417 (2019) - 2018
- [c1]Alexander Trott, Caiming Xiong, Richard Socher:
Interpretable Counting for Visual Question Answering. ICLR (Poster) 2018 - 2017
- [i1]Alexander Trott, Caiming Xiong, Richard Socher:
Interpretable Counting for Visual Question Answering. CoRR abs/1712.08697 (2017)
Coauthor Index
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