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Ray Jiang — most-cited papers & profile · Reinforcement Learning
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overview
Ray Jiang
6
papers ·
255
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Causally Correct Partial Models for Reinforcement Learning
2020 · 16 citations
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
2023 · 5 citations
Emphatic Algorithms for Deep Reinforcement Learning
2021 · 3 citations
Scaling Goal-based Exploration via Pruning Proto-goals
2023 · 1 citations
Top co-authors
A\"aron van den Oord
· 1
Adam White
· 1
Aja Huang
· 1
Akhil Bagaria
· 1
Caglar Gulcehre
· 1
Charles Blundell
· 1
Daniel Toyama
· 1
Danilo J. Rezende
· 1
David Choi
· 1
Fabio Viola
· 1
Frederic Besse
· 1
George Papamakarios
· 1
Topics
Value-Based
Game AI
Exploration
Model-Based RL
Meta-RL
Offline RL
Multi-Agent