Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract). (arXiv:2112.15331v2 [cs.CL] UPDATED)

This abstract proposes an approach towards goal-oriented modeling of the
detection and modeling complex social phenomena in multiparty discourse in an
online political strategy game. We developed a two-tier approach that first
encodes sociolinguistic behavior as linguistic features then use reinforcement
learning to estimate the advantage afforded to any player. In the first tier,
sociolinguistic behavior, such as Friendship and Reasoning, that speakers use
to influence others are encoded as linguistic features to identify the
persuasive strategies applied by each …

arxiv games graph identify learning reinforcement learning strategies