Junhyuk Oh
Google (United Kingdom)(GB)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning, Adaptive Dynamic Programming Control, Advanced Bandit Algorithms Research
Most-Cited Works
- → Grandmaster level in StarCraft II using multi-agent reinforcement learning(2019)3,358 cited
- → Action-Conditional Video Prediction using Deep Networks in Atari Games(2015)446 cited
- → Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context(2024)276 cited
- → Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network(2016)186 cited
- → Control of Memory, Active Perception, and Action in Minecraft(2016)172 cited
- → Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning(2017)114 cited
- Self-Imitation Learning(2018)