Multi-agent Reinforcement Learning on SMAC MMM2

Metric: Median Win Rate (higher is better)

LeaderboardDataset

Loading chart...

Results

Sort:

#	Model↕	Median Win Rate▼	Augmentations	Paper	Date↕	Code
1	ACE	100	No	ACE: Cooperative Multi-agent Q-learning with Bid...	2022-11-29	Code
2	DDN	97.22	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
3	DPLEX	96.88	No	A Unified Framework for Factorizing Distribution...	2023-06-04	Code
4	QPLEX	96.88	No	A Unified Framework for Factorizing Distribution...	2023-06-04	Code
5	DMIX	95.11	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
6	QMIX	92.44	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
7	VDN	89.2	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
8	DIQL	85.23	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
9	QMIX	69	No	Monotonic Value Function Factorisation for Deep ...	2020-03-19	Code
10	QMIX	69	No	Monotonic Value Function Factorisation for Deep ...	2020-03-19	Code
11	IQL	68.92	No	DFAC Framework: Factorizing the Value Function v...	2021-02-16	Code
12	VDN	1	No	The StarCraft Multi-Agent Challenge	2019-02-11	Code
13	IQL	0	No	-	-	Code
14	Heuristic	0	No	-	-	Code

#1ACESOTA
100
Median Win Rate· 2022-11-29
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency Code
#2DDNSOTA
97.22
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#3DPLEX
96.88
Median Win Rate· 2023-06-04
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Code
#4QPLEX
96.88
Median Win Rate· 2023-06-04
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Code
#5DMIX
95.11
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#6QMIX
92.44
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#7VDN
89.2
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#8DIQL
85.23
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#9QMIXSOTA
69
Median Win Rate· 2020-03-19
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Code
#10QMIX
69
Median Win Rate· 2020-03-19
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Code
#11IQL
68.92
Median Win Rate· 2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Code
#12VDNSOTA
1
Median Win Rate· 2019-02-11
The StarCraft Multi-Agent Challenge Code
#13IQL
0
Median Win Rate
No paperCode
#14Heuristic
0
Median Win Rate
No paperCode