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Michael Chang — most-cited papers & profile · Reinforcement Learning
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Michael Chang
4
papers ·
40
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Entity Abstraction in Visual Model-Based Reinforcement Learning
2019 · 32 citations
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
2020 · 7 citations
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
2021 · 1 citations
Explore and Control with Adversarial Surprise
2021
Top co-authors
Sergey Levine
· 4
Sidhant Kaushik
· 2
Thomas L. Griffiths
· 2
Arnaud Fickinger
· 1
Chelsea Finn
· 1
Glen Berseth
· 1
Jiajun Wu
· 1
John D. Co-Reyes
· 1
Joshua B. Tenenbaum
· 1
Michael Janner
· 1
Natasha Jaques
· 1
Nicholas Rhinehart
· 1
Topics
Multi-Agent
Meta-RL
Model-Based RL
Game AI
Value-Based
Policy Gradient
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