English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Ad-hoc team cooperation is the problem of cooperating with other players thathave not been seen in the learning process. Recently, this problem has beenconsidered in the context of Hanabi, which requires cooperation withoutexplicit communication with the other players. While in self-play strategiescooperating on reinforcement learning (RL) process has shown success, there isthe problem of failing to cooperate with other unseen agents after the initiallearning is completed. In this paper, we categorize the results of ad-hoc teamcooperation into Failure, Success, and Synergy and analyze the associatedfailures. First, we confirm that agents learning via RL converge to onestrategy each, but not necessarily the same strategy and that these agents candeploy different strategies even though they utilize the same hyperparameters.Second, we confirm that the larger the behavioral difference, the morepronounced the failure of ad-hoc team cooperation, as demonstrated usinghierarchical clustering and Pearson correlation. We confirm that such agentsare grouped into distinctly different groups through hierarchical clustering,such that the correlation between behavioral differences and ad-hoc teamperformance is -0.978. Our results improve understanding of key factors to formsuccessful ad-hoc team cooperation in multi-player games.

Behavioral Differences is the Key of Ad-hoc Team Cooperation in Multiplayer Games Hanabi