Share your thoughts, 1 month free Claude Pro on usSee more

Multi-Agent Reinforcement Learning on Simple Spread N=3

0.0017Collisions

CG-CMARL

Updated 1d ago

Evaluation Results

Method	Links
CG-CMARL 2026.06		0.0017	0.0006	3.92
CG-CMARL 2026.06		0.0022	0.0007	1.33
CG-CMARL 2026.06		0.003	0.001	8.25
CG-CMARL 2026.06		0.0034	0.0011	17.5
CG-CMARL 2026.06		0.0037	0.0012	46.17
CG-CMARL 2026.06		0.0042	0.0014	38.08
CG-CMARL 2026.06		0.0052	0.0017	47.33
QMIX 2026.06		0.0052	0.0017	7.83
CG-CMARL 2026.06		0.0054	0.0018	46.58
CG-CMARL 2026.06		0.0055	0.0018	47.58
QMIX 2026.06		0.006	0.002	5.6
MAPPO-Lag 2026.06		0.0067	0.0022	9.97
QMIX 2026.06		0.0071	0.0024	5.83
MAPPO 2026.06		0.0084	0.0028	10.9
MAPPO 2026.06		0.0126	0.0042	8
MAPPO-Lag 2026.06		0.0185	0.0062	10.53
MAPPO 2026.06		0.0232	0.0077	9.84
DCG 2026.06		0.0322	0.0107	24.17
DCG 2026.06		0.0439	0.0146	23.5
DCG 2026.06		0.045	0.015	21.58
IQL 2026.06		0.0483	0.0161	15.67
IQL 2026.06		0.0519	0.0173	20.58
IQL 2026.06		0.0623	0.0208	17.42