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

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 10 cited

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…