Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces

Ziyad Sheebaelhamd, Konstantinos Zisis, Athina Nisioti +3

Multi-agent control problems constitute an interesting area of application for deep reinforcement learning models with continuous action spaces. Such real-world applications, howev…