A Review of Cooperation in Multi-agent Learning

no code implementations • 8 Dec 2023 • Yali Du, Joel Z. Leibo, Usman Islam, Richard Willis, Peter Sunehag

Cooperation in multi-agent learning (MAL) is a topic at the intersection of numerous disciplines, including game theory, economics, social sciences, and evolutionary biology.

Decision Making

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention

no code implementations • 27 Oct 2021 • David Mguni, Usman Islam, Yaqi Sun, Xiuling Zhang, Joel Jennings, Aivar Sootla, Changmin Yu, Ziyan Wang, Jun Wang, Yaodong Yang

In this paper, we introduce a new generation of RL solvers that learn to minimise safety violations while maximising the task reward to the extent that can be tolerated by the safe policy.

OpenAI Gym reinforcement-learning +3