Scholar
Ilai Bistritz
Google Scholar ID: GAdPpe0AAAAJ
Tel Aviv University
Citations & Impact
Citations
754
H-index
12
i10-index
17
Publications
20
Co-authors
5
list available
Contact
Publications
Resume (English only)
Background
- Research interests include game theory, distributed control, and multiagent learning
- Focuses on how agents can make efficient decisions in networked environments where their decisions affect each other
- Applications include autonomous vehicles, multi-robot systems, on-device learning, cloud computing, wireless networks, and the smart grid
- Studies how agents learn optimal behaviors based on limited local observations, such as bandit feedback dependent on all agents' actions
- Typical objectives: efficient resource sharing under uncertainty, coordination toward common goals, and collaborative environment learning/modeling
- Emphasizes the utility of probabilistic tools in analyzing agent interactions
