Junhyuk Oh
Impact in
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
- Evolutionary Algorithms and Applications
- Topic Modeling
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Vision and Imaging
Papers in
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- Reinforcement Learning in Robotics 13
- Machine Learning and Data Classification 3
- Domain Adaptation and Few-Shot Learning 3
- Data Stream Mining Techniques 2
- Artificial Intelligence in Games 1
- Adversarial Robustness in Machine Learning 1
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- Adaptive Dynamic Programming Control 3
- Co-authors
- Honglak Lee (7 shared papers)Satinder Singh (8 shared papers)Richard L. Lewis (2 shared papers)Xiaoxiao Guo (1 shared paper)Satinder Singh (2 shared papers)Pushmeet Kohli (1 shared paper)Yijie Guo (2 shared papers)Yutian Chen (1 shared paper)
- Journals
- Chemical Communications (1 paper)Advanced Materials Technologies (1 paper)Nature (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (5 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Junhyuk Oh
15 papers receiving 246 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 173
- Computer Vision and Pattern Recognition 105
- Control and Systems Engineering 37
- Signal Processing 13
- Computational Theory and Mathematics 17
Countries citing papers authored by Junhyuk Oh
This map shows the geographic impact of Junhyuk Oh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junhyuk Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhyuk Oh more than expected).
Fields of papers citing papers by Junhyuk Oh
This network shows the impact of papers produced by Junhyuk Oh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junhyuk Oh. The network helps show where Junhyuk Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhyuk Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Action-conditional video prediction using deep networks in Atari games | 2015 | 80 |
| 2 | 2016 | 57 | |
| 3 | 2017 | 42 | |
| 4 | Self-Imitation Learning | 2018 | 24 |
| 5 | Contingency-Aware Exploration in Reinforcement Learning | 2018 | 10 |
| 6 | 2018 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2019 | 7 | |
| 9 | 2024 | 3 | |
| 10 | Self-Tuning Deep Reinforcement Learning | 2020 | 3 |
| 11 | A Self-Tuning Actor-Critic Algorithm | 2020 | 2 |
| 12 | Meta-Gradient Reinforcement Learning with an Objective Discovered Online | 2020 | 2 |
| 13 | 2025 | 1 | |
| 14 | Discovering Reinforcement Learning Algorithms | 2020 | 1 |
| 15 | Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies | 2018 | 1 |
| 16 | 2024 | 0 |
About Junhyuk Oh
Junhyuk Oh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 252 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Machine Learning and Data Classification (3 papers), Adaptive Dynamic Programming Control (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Data Stream Mining Techniques (2 papers), Artificial Intelligence in Games (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Artificial Intelligence (173 citations), Computer Vision and Pattern Recognition (105 citations), Control and Systems Engineering (37 citations), Signal Processing (13 citations) and Computational Theory and Mathematics (17 citations). Junhyuk Oh has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Honglak Lee, Satinder Singh, Richard L. Lewis, Xiaoxiao Guo, Satinder Singh, Pushmeet Kohli, Yijie Guo, Yutian Chen, Hado P. van Hasselt and Matteo Hessel. Their work appears in journals such as Chemical Communications, Advanced Materials Technologies, Nature, Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.