Oliver Järnefelt
M.Sc. Oliver Järnefelt
John-Skilton-Straße 8a
About me
I joined the LiteRL group in JMU Würzburg in January 2023 as Ph.D. candidate. Before joining the group, I graduated from Aalto University majoring in Machine Learning, Data Science, and Artificial Intelligence. I wrote my thesis, titled "Modular Value Function Factorization in Multi-Agent Reinforcement Learning", while working at the Intelligent Autonomous Systems (IAS) group at TU Darmstadt as a visiting student under the supervision of Prof. Carlo D'Eramo. My thesis investigates novel ways of integrating structural prior information to value function factorization approaches to improve the sample efficiency of multi-agent reinforcement learning.
My research interests revolve around reinforcement learning, multi-agent systems and robotics.
Twitter: @ojaernefelt
Workshop papers
- Oliver Järnefelt, Carlo D'Eramo. "Modular Value Function Factorization in Multi-Agent Reinforcement Learning". Workshop on Decision-Making in Multi-Agent Systems. IEEE IROS. 2022.
