Multi-agent Planning on 4 Agent Scenarios inferred goals benchmark leaderboard · SOTA2 Research

Multi-agent Planning on 4 Agent Scenarios inferred goals

1.62Traj Start SuccessAll

Evaluation Results

Method	Links
All2025.04		1.62	1.9352	1	0.8495	4
All2025.04		1.52	1.9437	1	0.8501	4
PSN-Partial2025.04		1.5	1.9293	0.9926	0.8105	2
Cost Evolution2025.04		1.25	1.9255	0.98	0.7862	2
Cost Evolution2025.04		1.24	1.9196	0.9804	0.7829	—
kNNs2025.04		1.17	1.7555	0.9898	0.8012	—
Hessian2025.04		1.13	1.7533	0.9912	0.8032	—
PSN-Full2025.04		1.1	1.9184	0.994	0.8127	2
PSN-Full2025.04		1.1	1.9168	0.9941	0.8173	2
kNNs2025.04		1.01	1.9024	0.9888	0.7875	2
PSN-Partial2025.04		0.99	1.8898	0.9925	0.798	1.32
Gradient2025.04		0.98	1.8922	0.9885	0.7842	—
Gradient2025.04		0.98	1.8993	0.9885	0.7881	2
BF2025.04		0.98	1.898	0.9918	0.7881	2
PSN-Partial2025.04		0.97	1.9075	0.9927	0.7939	1.32
PSN-Partial2025.04		0.96	1.9003	0.992	—	2
BF2025.04		0.95	1.8928	0.9915	0.7875	—
Hessian2025.04		0.95	1.9027	0.9914	0.7873	2
CBF2025.04		0.95	1.9027	0.993	0.7863	2
CBF2025.04		0.94	1.8963	0.9931	0.7846	—
PSN-Full2025.04		0.88	1.8934	0.9942	0.7969	1.32
PSN-Full2025.04		0.87	1.8883	0.9942	0.7968	1.32
Distance2025.04		0.86	1.8923	0.995	0.7792	1.2
Distance2025.04		0.82	1.9006	0.9949	0.786	1.2