Name
Abstract | ||
|---|---|---|
We present and evaluate a reinforcement learning-based RWA algorithm for all-optical networks subject to physical impairments. The technique is suitable for decentralized networks and is compared with other techniques with similar computational complexity. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/BROADNETS.2007.4550533 | 2007 FOURTH INTERNATIONAL CONFERENCE ON BROADBAND COMMUNICATIONS, NETWORKS & SYSTEMS, VOLS 1 AND 2 |
Keywords | Field | DocType |
bit error rate,circuits,reinforcement learning,computational complexity,computer networks,technology management | Computer network management,All optical,Computer science,Computer network,Computational learning theory,Electronic circuit,Technology management,Bit error rate,Distributed computing,Computational complexity theory,Reinforcement learning | Conference |
Citations | PageRank | References |
4 | 0.42 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yvan Pointurier | 1 | 135 | 20.65 |
| Fariba Heidari | 2 | 14 | 1.94 |