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Junhyuk Oh — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Junhyuk Oh
21
papers ·
729
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Control of Memory, Active Perception, and Action in Minecraft
2016 · 172 citations
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
2017 · 114 citations
Discovering Reinforcement Learning Algorithms
2020 · 62 citations
Value Prediction Network
2017 · 42 citations
Generative Adversarial Self-Imitation Learning
2018 · 42 citations
Discovery of Useful Questions as Auxiliary Tasks
2019 · 38 citations
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
2020 · 36 citations
On Learning Intrinsic Rewards for Policy Gradient Methods
2018 · 33 citations
A Self-Tuning Actor-Critic Algorithm
2020 · 32 citations
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
2018 · 30 citations
Many-Goals Reinforcement Learning
2018 · 29 citations
Contingency-Aware Exploration in Reinforcement Learning
2018 · 28 citations
In-context Reinforcement Learning with Algorithm Distillation
2022 · 10 citations
Balancing Constraints and Rewards with Meta-Gradient D4PG
2020 · 6 citations
What Can Learned Intrinsic Rewards Capture?
2019 · 5 citations
Top co-authors
Zhongwen Xu
· 7
David Silver
· 6
Honglak Lee
· 6
Zeyu Zheng
· 2
Daniel J. Mankowitz
· 1
Dj Strouse
· 1
Emilio Parisotto
· 1
Louis Kirsch
· 1
Michael Laskin
· 1
Nir Levine
· 1
Razvan Pascanu
· 1
Stephen Spencer
· 1
Topics
Meta-RL
Exploration
Game AI
Value-Based
Policy Gradient
Model-Based RL
Offline RL
Safe RL