ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning
Published in Science of Computer Programming, Volume 238, Article 103176, 2024
Recommended citation: Davide Domini, Filippo Cavallari, Gianluca Aguzzi, Mirko Viroli (2024). "ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning." Science of Computer Programming, Volume 238, Article 103176, Article 103176.
Download Paper
