Deep Reinforcement Learning

Multimodal Agents: From Automation toward Open-Ended Self-Improvement

Mingchen Zhuge, Ph.D. Student, Computer Science

May 9, 17:30 - 19:30

B4 R5220; Zoom Meeting 91489077683

AI agents coding Multi-agent systems world models recursive self-improvement LLM Deep Reinforcement Learning

This thesis presents practical methodologies for building scalable multimodal agents that move from narrow automation toward open-ended self-improvement.

Rising Stars in AI Symposium 2022 at KAUST

Jürgen Schmidhuber, Professor, Computer Science

Mar 13, 09:00 - Mar 15, 17:00

B4 B5 A0215

artificial intelligence machine learning mathematical optimization Deep Reinforcement Learning Computer Vision Natural Language Processing

Rising Stars in AI Symposium 2022 at KAUST The "Rising Stars in AI Symposium" is geared towards young researchers (including PhD students, PostDocs, young faculty) who have recently published promising work at leading venues. There will be dozens of brief in-person presentations about papers recently accepted at major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. All speakers will be encouraged to start with an intro for non-AI experts. To view the complete program and for more event details, please visit the symposium website. Attend the Symposium The symposium will be

Malik Shahid Sultan

Ph.D. Student, Statistics

Applied Machine Learning Deep learning Deep Reinforcement Learning Functional Time Series

Malik Shahid Sultan is a Ph.D. student in Bio-Engineering ( Bioinformatics & Machine Learning) at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in the Biostatistics group. Education and Early Career Malik Shahid Sultan hold BSc. in Industrial Engineering with a Gold Medal from the University of Engineering and Technology Taxila (Pakistan). Malik holds M.Sc. from King Abdullah University of Science and Technology (KAUST) (Saudi Arabia) in Bio-Engineering (Bioinformatics & Machine Learning). During the Fall of 2021

Azimkhon Ostonov

Postdoctoral Research Fellow, Computer Science

decision trees machine learning Deep Reinforcement Learning Deep learning

Abeer AlAmoudi

Ph.D. Student, Electrical and Computer Engineering

Internet of Bodies human body communication wireless sensor networks Deep Reinforcement Learning