SMAC on Def_Armored_sequential

Metric: Median Win Rate (higher is better)

LeaderboardDataset

Loading chart...

Results

Submit a result

Sort:

#	Model↕	Median Win Rate▼	Extra Data	Paper	Date↕	Code
1	DRIMA	100	No	-	-	-
2	VDN	96.9	No	Value-Decomposition Networks For Cooperative Mul...	2017-06-16	Code
3	QTRAN	93.8	No	QTRAN: Learning to Factorize with Transformation...	2019-05-14	Code
4	MADDPG	90.6	No	Multi-Agent Actor-Critic for Mixed Cooperative-C...	2017-06-07	Code
5	DMIX	81.3	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
6	DDN	71.9	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
7	DIQL	53.1	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
8	IQL	9.4	No	The StarCraft Multi-Agent Challenges+ : Learning...	2022-07-05	Code
9	COMA	0	No	-	-	Code
10	QMIX	0	No	-	-	Code
11	MASAC	0	No	-	-	Code

#1DRIMA
100
Median Win Rate
No paper
#2VDNSOTA
96.9
Median Win Rate· 2017-06-16
Value-Decomposition Networks For Cooperative Multi-Agent Learning Code
#3QTRAN
93.8
Median Win Rate· 2019-05-14
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Code
#4MADDPGSOTA
90.6
Median Win Rate· 2017-06-07
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Code
#5DMIX
81.3
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#6DDN
71.9
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#7DIQL
53.1
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#8IQL
9.4
Median Win Rate· 2022-07-05
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions Code
#9COMA
0
Median Win Rate
No paperCode
#10QMIX
0
Median Win Rate
No paperCode
#11MASAC
0
Median Win Rate
No paperCode