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cs.AI2026
R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning
Haobin Qin, Baofeng Zhang, Hidehisa Akiyama +1
Robot soccer is a challenging testbed for multi-agent reinforcement learning because it combines partial observability, cooperative and adversarial interaction, sparse rewards, and…
cs.AI2016
Selecting the Best Player Formation for Corner-Kick Situations Based on Bayes' Estimation
Jordan Henrio, Thomas Henn, Tomoharu Nakashima +1
In the domain of the Soccer simulation 2D league of the RoboCup project, appropriate player positioning against a given opponent team is an important factor of soccer team performa…