Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs.
Sergio Barrachina-MuñozAlessandro ChiumentoBoris BellaltaPublished in: CoRR (2021)
Keyphrases
- multi agent systems
- reinforcement learning
- multi agent
- multi agent reinforcement learning
- contract net protocol
- wireless networks
- resource allocation
- model free
- dynamic programming
- dynamic environments
- multi agent environments
- single agent
- distributed resource allocation
- function approximation
- power consumption
- markov decision processes
- peer to peer