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