Multi agent reinforcement learning: PyTorch implementations of several algorithms for Multi Agent domains

This repository provides a comprehensive solution and codebase for the migration from centralized to federated learning. It demonstrates centralized training, its drawbacks, and how federated learning addresses these issues. It also serves as a tutorial to guide users through the transition process.

Framework of Distributed Learning in Vehicular Networks

Experiments involving client participation and data distributions on FedAvg algorithm

Legacy code from PettingZoo environment. Centralized learning, de-centralized execution.