Program Structure
ย
๐ Day 1 โ Foundations and Theory
- ๐น Multi-Agent Control in Communication Systems
- ๐น Markov Games and Fair Learning Frameworks
- ๐น Distributed Optimization and Bandit Algorithms
- ๐น Distinguished Expert Lectures
- ๐น Technical Discussion Session
๐ป Day 2 โ Algorithms and Applications
- ๐น Multi-Agent Reinforcement Learning
- ๐น Inverse RL for Network Optimization
- ๐น AI-Based Resource Allocation Strategies
๐ Detailed schedule
