Ph.D. Course at Scuola Superiore Meridionale: An Introduction to Multi-Agent Reinforcement Learning (Academic Year 2021-22)


In this part of the module we will cover key topics in Deep Reinforcement Learning and Multi-agent Systems. The module will cover both theoretical foundations and applications.


An extensive list of resources will be provided during the module.

Teaching Material

It will be made available here before the lectures.


Introduction to Deep Learning for Reinforcement Learning

Value Approximation Methods

Policy Gradient Methods

Multi-agent Reinforcement Learning


Notebook DQN Cartpole

Notebook DQN Atari Game

Last updated: 5 April 2022.