Published numerous papers such as 'Gemini: A Family of Highly Capable Multimodal Models' (Tech Report, 2023), 'Deep Reinforcement Learning with Plasticity Injection' (NeurIPS, 2023), etc. Some of these papers were presented orally at major conferences.
Research Experience
Joined DeepMind as a research scientist in June 2018; Co-organized workshops for multiple academic conferences, including ICLR 2019, ICML 2018, and NIPS 2017, among others.
Education
Ph.D.: University of Michigan; Advisors: Honglak Lee and Satinder Singh.
Background
Research Interests: Deep reinforcement learning; Bio: Junhyuk Oh is a research scientist at DeepMind. His work has been covered by MIT Technology Review, Daily Mail, and VentureBeat.