Experimental evaluation of multi-agent reinforcement learning in real-world scale-free networks
Multi-agent reinforcement learning is a common method for optimizing agents' local decision in a distributed and scalable manner. However, the study and analysis of the state-of-the-art multi-agent reinforcement learning (MARL) algorithms have been limited to small problems involving few number...
Saved in:
| Main Author: | |
|---|---|
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://bspace.buid.ac.ae/handle/1234/42 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|