The RoboCup Synthetic Agent Challenge 97

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Autonomous agents modelling other agents: A comprehensive survey and open problems (2017, background): “Since these early works in game theory and AI, the problem of modelling other agents has been an active area of research in many sub-communities, including classic game playing [106], computer Poker [232], automated negotiation [21], simulated robot soccer [173], human user modelling [289,194], huma”
Rearrangement: A Challenge for Embodied AI (2020, background): “…72, 49], navigation [1, 4], manipulation tasks focusing on standardized real-world object sets [13], and competition-style setups, such as RoboCup [43, 67] and the International Planning Competition [53], as well as simulated benchmarks focusing on speciﬁc algorithmic approaches such as…”
A Review of Real-Time Strategy Game AI (2014, methodology): “Alternatively, approaches to teamwork and coordination used in other domains, such as RoboCup (Kitano et al. 1998) may be appropriate to be adapted or extended for use in the RTS domain.”
Scaling Reinforcement Learning toward RoboCup Soccer (2001, background): “RoboCup simulated soccer has been used as the basis for successful international competitions and research challenges (Kitano et al., 1997).”
Multiagent Systems: A Survey from a Machine Learning Perspective (2000, background): “It is also the subject of an official IJCAI-97 Challenge [45].”