Yuta Murata
Papers
1
Total Citations
17
H-Index
1
About
Yuta Murata is a researcher whose work lies at the intersection of multi-agent systems, reinforcement learning, and knowledge transfer. His most notable contribution is the development of the **knowledge co-creation framework (KCF)**, a pioneering transfer learning method designed for heterogeneous multi-agent robot systems (MARS). Introduced in his highly cited 2014 paper, this framework enables robots with different capabilities to share and reuse learned knowledge using an ontology-based approach, significantly accelerating learning in complex, real-world environments. By addressing the critical challenge of heterogeneity in multi-agent reinforcement learning, Murata’s work has laid a foundation for more scalable and efficient robotic teams. With his key paper garnering 17 citations, his research continues to influence the fields of robotics and artificial intelligence, offering practical solutions for collaborative autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1