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Junhyuk Oh
Junhyuk Oh
Research Scientist, DeepMind
Dirección de correo verificada de google.com - Página principal
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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
2238*2019
Action-conditional video prediction using deep networks in atari games
J Oh, X Guo, H Lee, RL Lewis, S Singh
Advances in neural information processing systems 28, 2015
7952015
Control of memory, active perception, and action in minecraft
J Oh, V Chockalingam, H Lee
International Conference on Machine Learning, 2790-2799, 2016
2822016
Value prediction network
J Oh, S Singh, H Lee
Advances in neural information processing systems 30, 2017
2672017
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
2192017
Self-imitation learning
J Oh, Y Guo, S Singh, H Lee
International Conference on Machine Learning, 3878-3887, 2018
1972018
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
1792016
On learning intrinsic rewards for policy gradient methods
Z Zheng, J Oh, S Singh
Advances in Neural Information Processing Systems 31, 2018
1252018
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
612018
Many-goals reinforcement learning
V Veeriah, J Oh, S Singh
arXiv preprint arXiv:1806.09605, 2018
602018
Discovery of useful questions as auxiliary tasks
V Veeriah, M Hessel, Z Xu, J Rajendran, RL Lewis, J Oh, HP van Hasselt, ...
Advances in Neural Information Processing Systems 32, 2019
572019
Hierarchical reinforcement learning for zero-shot generalization with subtask dependencies
S Sohn, J Oh, H Lee
Advances in Neural Information Processing Systems 31, 2018
52*2018
Discovering reinforcement learning algorithms
J Oh, M Hessel, WM Czarnecki, Z Xu, HP van Hasselt, S Singh, D Silver
Advances in Neural Information Processing Systems 33, 1060-1070, 2020
482020
A self-tuning actor-critic algorithm
T Zahavy, Z Xu, V Veeriah, M Hessel, J Oh, HP van Hasselt, D Silver, ...
Advances in neural information processing systems 33, 20913-20924, 2020
46*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
342020
Generative adversarial self-imitation learning
Y Guo, J Oh, S Singh, H Lee
arXiv preprint arXiv:1812.00950, 2018
342018
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
342018
Meta-gradient reinforcement learning with an objective discovered online
Z Xu, HP van Hasselt, M Hessel, J Oh, S Singh, D Silver
Advances in Neural Information Processing Systems 33, 15254-15264, 2020
322020
Discovery of options via meta-learned subgoals
V Veeriah, T Zahavy, M Hessel, Z Xu, J Oh, I Kemaev, HP van Hasselt, ...
Advances in Neural Information Processing Systems 34, 2021
92021
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
92020
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Artículos 1–20