Offline Multi-Agent Reinforcement Learning

Benchmarks

Dataset Name	SOTA Method	Metric
Multi-agent MuJoCo Hopper expert, medium, medium-replay, medium-expert		Return3,621	12	4d ago
Warehouse Small (11x20)	AlberDICE	Mean Performance (N=2)5.97	6	4d ago
Warehouse Tiny (11x11)	AlberDICE	Mean Performance (N=2)11.15	6	4d ago
Bridge (Mix)	AlberDICE	Mean Return-1.29	6	4d ago
Bridge Optimal	AlberDICE	Mean Return-1.27	6	4d ago
Multi-agent MuJoCo Swimmer (e, m1, m2, e-m1, e-m2, m1-m2)	OMIGA	Return430.7	5	4d ago
Multi-agent MuJoCo HalfCheetah k=0 (e, m1, m2, e-m1, e-m2, m1-m2)	FACMAC+B3C	Return1,396.8	5	4d ago
Multi-agent MuJoCo HalfCheetah expert, medium, medium-replay, medium-expert	FACMAC+B3C	Return5,413.7	5	4d ago
Multi-agent MuJoCo Ant expert, medium, medium-replay, medium-expert	FACMAC+B3C	Return2,162.8	5	4d ago
SMAC corridor (medium-poor)	OMIGA	Average Score9.7	5	4d ago
SMAC corridor (good-medium)	OMIGA	Average Score14.02	5	4d ago
SMAC corridor (good-poor)	OMIGA	Average Score13.01	5	4d ago
SMAC 6h_vs_8z (medium-poor)	OMIGA	Average Score11.85	5	4d ago
SMAC 6h_vs_8z (good-medium)	OMIGA	Average Score12.05	5	4d ago
SMAC 6h_vs_8z (good-poor)	OMIGA	Average Score11.88	5	4d ago
Multi-agent MuJoCo HalfCheetah k=1 (e, m1, m2, e-m1, e-m2, m1-m2)	FACMAC+B3C	Return3,760.5	4	4d ago

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