Reinforcement Learning-Based MAS Interception in Antagonistic Environments

Dear Editor, As a promising multi-agent systems（MASs） operation, autonomous interception has attracted more and more attentions in these years, where defenders prevent intruders from reaching destinations.So far, most of the relevant methods are applied in ideal environments without agent damages. As a remedy, this letter proposes a more realistic interception method for MASs suffered by damages,