PyMARL provides implementations of state-of-the-art multi-agent reinforcement learning algorithms including QMIX, COMA, VDN, IQL, and QTRAN. The framework is built on PyTorch and uses the SMAC environment (StarCraft II Multi-Agent Challenge) for evaluation. Researchers can run experiments by specifying algorithm and environment configurations, with results logged for analysis.