Name
Title | ||
|---|---|---|
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking |
Abstract | ||
|---|---|---|
While Deep Reinforcement Learning has emerged as a de facto approach to many complex experience-driven networking problems, it remains challenging to deploy DRL into real systems. Due to the random exploration or half-trained deep neural networks during the online training process, the DRL agent may make unexpected decisions, which may lead to system performance degradation or eve... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSAC.2021.3087270 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Training,Reinforcement learning,Streaming media,Plugs,Task analysis,Neural networks,Bit rate | Journal | 39 |
Issue | ISSN | Citations |
8 | 0733-8716 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiyuan Xu | 1 | 73 | 6.42 |
| Kun Wu | 2 | 0 | 1.69 |
| Weiyi Zhang | 3 | 151 | 10.31 |
| Jian Tang | 4 | 1095 | 74.34 |
| Yanzhi Wang | 5 | 1082 | 136.11 |
| Guoliang Xue | 6 | 48 | 9.12 |