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nsidn98
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InforMARL
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
https://nsidn98.github.io/InforMARL/
MIT License
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More information about running this
#21
Huzzzaif
opened
4 days ago
5
Understanding the effects of n_rollout_threads
#20
Michael-Elrod-dev
closed
4 days ago
2
Have some questions about the scene?
#19
Yu-zx
opened
1 week ago
9
Problems encountered when running with Windows?
#18
Yu-zx
opened
2 weeks ago
7
Understanding of graph neural networks?
#17
Yu-zx
closed
2 days ago
7
torch error
#16
LaPluma030
closed
5 days ago
17
Comparison algorithms
#15
Yu-zx
opened
2 weeks ago
10
Scalablity of InforMARL
#14
QMBX
closed
1 month ago
5
Formation, Coverage and Line
#13
ljymrl
closed
1 month ago
5
information aggregation
#12
ljymrl
closed
2 months ago
1
Traceback (most recent call last)
#11
ljymrl
closed
3 months ago
3
Edge formation
#10
Michael-Elrod-dev
closed
3 months ago
1
Node observation representation
#9
rayidali
closed
3 months ago
3
Local vs Global Information
#8
Michael-Elrod-dev
closed
3 months ago
1
Installation details
#7
SJTUGuofei
closed
3 months ago
7
How do we render the training and evaluation?
#6
Michael-Elrod-dev
closed
2 weeks ago
17
Hi, could you please tell how to use UniMP in your InforMARL? I can neither find it in your paper nor in your code. Thx.
#5
TianyQi
closed
6 months ago
3
Env Setup
#4
SJTUGuofei
closed
6 months ago
3
A Minor question about env.reset
#3
DH-O
closed
8 months ago
3
Which one should be set to true, use_popart or use_valuenorm?
#2
DH-O
closed
8 months ago
1
dependencies errors and wandb
#1
DH-O
closed
8 months ago
13