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Alexander Trott — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Alexander Trott
7
papers ·
74
citations ·
10
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
2020 · 44 citations
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
2019 · 21 citations
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist
2021 · 4 citations
Competitive Experience Replay
2019 · 3 citations
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
2021 · 2 citations
KARL: Knowledge Agents via Reinforcement Learning
2026
Top co-authors
Richard Socher
· 4
Stephan Zheng
· 4
Sunil Srinivasa
· 3
Caiming Xiong
· 2
David C. Parkes
· 2
Abhay Gupta
· 1
Andrew Drozdov
· 1
Arnav Singhvi
· 1
Ashutosh Baheti
· 1
Cindy Wang
· 1
Douwe van der Wal
· 1
Hao Liu
· 1
Topics
Multi-Agent
Model-Based RL
Policy Gradient
Exploration
Value-Based
Offline RL
RLHF & Alignment
Safe RL