Half field offense in RoboCup soccer: A multiagent reinforcement learning case study

Shivaram Kalyanakrishnan, Yaxin Liu, Peter Stone · 2006 · Lecture notes in computer science · DOI 10.1007/978-3-540-74024-7_7

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cs.AI · 2026-06-17 · unverdicted · novelty 7.0

R2D-RL supplies a Python MARL interface to RCSS2D with shared-memory sync, scenario and full-field support, EPV rewards, and baseline results.

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R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning cs.AI · 2026-06-17 · unverdicted · none · ref 10
R2D-RL supplies a Python MARL interface to RCSS2D with shared-memory sync, scenario and full-field support, EPV rewards, and baseline results.