We investigate a new DCOP_MST model that incorporates elements of ML in distributed search problems.
- Surveillance and Search & Detect teams from Harel's thesis
- Algorithms from "DCOPs Meet the Real World" paper
- Implement different metrics (Neptune)
- Fictitious play
- Rational learning
- random (version 1) - each agent selects next move randomly
- ER Loss
- DCOP_MST Objective