11-vs-11 full-field benchmark

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1papers using it

2026first seen

The '11-vs-11 full-field benchmark' is a dataset used to evaluate multi-agent reinforcement learning in a robot soccer environment, featuring full-field gameplay with two teams of eleven players each.

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Papers using 11-vs-11 full-field benchmark (1)

R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning2026