RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games

• URL: http://arxiv.org/abs/2307.01676v1
• Date: Tue, 4 Jul 2023 12:07:25 GMT
• Title: RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games
• Authors: Hyeon-Chang Jeon, In-Chang Baek, Cheong-mok Bae, Taehwa Park, Wonsang You, Taegwan Ha, Hoyun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim
• Abstract summary: RaidEnv is a new game simulator that includes diverse and customizable content for the boss raid scenario in MMORPG games. We introduce two evaluation metrics to provide guidance for AI in automatic content balancing.
• Score: 1.9851345691234763
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The balance of game content significantly impacts the gaming experience. Unbalanced game content diminishes engagement or increases frustration because of repetitive failure. Although game designers intend to adjust the difficulty of game content, this is a repetitive, labor-intensive, and challenging process, especially for commercial-level games with extensive content. To address this issue, the game research community has explored automated game balancing using artificial intelligence (AI) techniques. However, previous studies have focused on limited game content and did not consider the importance of the generalization ability of playtesting agents when encountering content changes. In this study, we propose RaidEnv, a new game simulator that includes diverse and customizable content for the boss raid scenario in MMORPG games. Additionally, we design two benchmarks for the boss raid scenario that can aid in the practical application of game AI. These benchmarks address two open problems in automatic content balancing, and we introduce two evaluation metrics to provide guidance for AI in automatic content balancing. This novel game research platform expands the frontiers of automatic game balancing problems and offers a framework within a realistic game production pipeline.

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