Research Talk by Dr. Ainur Zhaikhan (PhD, EPFL, Switzerland)

ISSAI is pleased to invite you to a Research Talk by Dr. Ainur Zhaikhan (PhD, EPFL, Switzerland), entitled “State Estimation and Exploration in Multi-Agent Reinforcement Learning.”

Dr. Zhaikhan received her Bachelor’s degree in Electrical Engineering from Nazarbayev University and went on to earn her Master’s degree from King Abdullah University of Science and Technology (KAUST). In 2025, she completed her PhD at the École Polytechnique Fédérale de Lausanne, (EPFL), where her research focused on reinforcement learning by networked agents under the supervision of Prof. Ali H. Sayed. Her work spans reinforcement learning, multi-agent systems, distributed learning, and social learning.

About the lecture:

Multi-agent reinforcement learning (MARL) provides a powerful framework for solving complex decision-making problems involving multiple autonomous agents. In real-world scenarios, agents often operate under partial observability and lack access to the global state of the environment. In this talk, Dr. Zhaikhan will present approaches based on social learning that enable agents to estimate global states from local observations. She will also discuss strategies for balancing exploration and exploitation in multi-agent systems, highlighting how provably efficient policies can be achieved without explicit state-counting mechanisms.

Registration Link

We look forward to welcoming you to this lecture and to an engaging discussion on recent advances in multi-agent reinforcement learning.