Visualizing the Evolution of Multi-agent Game-playing Behaviors
Agarwal, Shivam; Latif, Shahid; Rothweiler, Aristide; u. a. (2022): „Visualizing the Evolution of Multi-agent Game-playing Behaviors“. Geneve doi: 10.2312/EVP.20221111.
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EuroVis 2022 - Posters
The Eurographics Association
24th EG Conference on Visualization, 13-17 June 2022 ; Rome
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Analyzing the training evolution of AI agents in a multi-agent environment helps to understand changes in learned behaviors, as well as the sequence in which they are learned. We train an existing Pommerman team from scratch and, at regular intervals, let it battle against another top-performing team. We define thirteen game-specific behaviors and compute their occurrences in 600 matches. To investigate the evolution of these behaviors, we propose a visualization approach and showcase its usefulness in an application example.
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evolving gameplay behaviors
July 28, 2022