MOBA: a New Arena for Game AI
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Abstract (arXiv)
Games have always been popular testbeds for Artificial Intelligence (AI). In the last decade, we have seen the rise of the Multiple Online Battle Arena (MOBA) games, which are the most played games nowadays. In spite of this, there are few works that explore MOBA as a testbed for AI Research. In this paper we present and discuss the main features and opportunities offered by MOBA games to Game AI Research. We describe the various challenges faced along the game and also propose a discrete model that can be used to better understand and explore the game. With this, we aim to encourage the use of MOBA as a novel research platform for Game AI.
Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). First posted on arXiv 30 May 2017.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 1; 2024: 1.
5 papers.
- 2021Learning Diverse Policies in MOBA Games via Macro-Goalscited by 7
- 2023Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspectivecited by 5
- 2024Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gaincited by 4
- 2021The Dota 2 Bot Competitioncited by 2
- 2021Reinforcement Learning for Adaptive Video Compressive Sensingcited by 1
- 2024Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain28 Jan 2024
- 2023Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective23 Apr 2023
- 2021Learning Diverse Policies in MOBA Games via Macro-Goals27 Oct 2021
- 2021Reinforcement Learning for Adaptive Video Compressive Sensing18 May 2021
- 2021The Dota 2 Bot Competition4 Mar 2021