Junhyuk Oh
Junhyuk Oh
Research Scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
1501*2019
Action-conditional video prediction using deep networks in atari games
J Oh, X Guo, H Lee, R Lewis, S Singh
arXiv preprint arXiv:1507.08750, 2015
7392015
Control of memory, active perception, and action in minecraft
J Oh, V Chockalingam, H Lee
International Conference on Machine Learning, 2790-2799, 2016
2492016
Value prediction network
J Oh, S Singh, H Lee
arXiv preprint arXiv:1707.03497, 2017
2262017
Zero-shot task generalization with multi-task deep reinforcement learning
J Oh, S Singh, H Lee, P Kohli
International Conference on Machine Learning, 2661-2670, 2017
1802017
Learning transferrable knowledge for semantic segmentation with deep convolutional neural network
S Hong, J Oh, H Lee, B Han
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1692016
Self-imitation learning
J Oh, Y Guo, S Singh, H Lee
International Conference on Machine Learning, 3878-3887, 2018
1502018
On learning intrinsic rewards for policy gradient methods
Z Zheng, J Oh, S Singh
arXiv preprint arXiv:1804.06459, 2018
912018
Many-goals reinforcement learning
V Veeriah, J Oh, S Singh
arXiv preprint arXiv:1806.09605, 2018
482018
Contingency-aware exploration in reinforcement learning
J Choi, Y Guo, M Moczulski, J Oh, N Wu, M Norouzi, H Lee
arXiv preprint arXiv:1811.01483, 2018
442018
Discovery of useful questions as auxiliary tasks
V Veeriah, M Hessel, Z Xu, R Lewis, J Rajendran, J Oh, H van Hasselt, ...
arXiv preprint arXiv:1909.04607, 2019
372019
Hierarchical reinforcement learning for zero-shot generalization with subtask dependencies
S Sohn, J Oh, H Lee
arXiv preprint arXiv:1807.07665, 2018
35*2018
Unicorn: Continual learning with a universal, off-policy agent
DJ Mankowitz, A Žídek, A Barreto, D Horgan, M Hessel, J Quan, J Oh, ...
arXiv preprint arXiv:1802.08294, 2018
302018
Generative adversarial self-imitation learning
Y Guo, J Oh, S Singh, H Lee
arXiv preprint arXiv:1812.00950, 2018
262018
Discovering reinforcement learning algorithms
J Oh, M Hessel, WM Czarnecki, Z Xu, H van Hasselt, S Singh, D Silver
arXiv preprint arXiv:2007.08794, 2020
252020
A self-tuning actor-critic algorithm
T Zahavy, Z Xu, V Veeriah, M Hessel, J Oh, H van Hasselt, D Silver, ...
arXiv preprint arXiv:2002.12928, 2020
23*2020
What can learned intrinsic rewards capture?
Z Zheng, J Oh, M Hessel, Z Xu, M Kroiss, H Van Hasselt, D Silver, S Singh
International Conference on Machine Learning, 11436-11446, 2020
202020
Meta-gradient reinforcement learning with an objective discovered online
Z Xu, H van Hasselt, M Hessel, J Oh, S Singh, D Silver
arXiv preprint arXiv:2007.08433, 2020
102020
Balancing Constraints and Rewards with Meta-Gradient D4PG
DA Calian, DJ Mankowitz, T Zahavy, Z Xu, J Oh, N Levine, T Mann
arXiv preprint arXiv:2010.06324, 2020
22020
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
M Garnelo, WM Czarnecki, S Liu, D Tirumala, J Oh, G Gidel, ...
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
12021
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Articles 1–20