Name
Abstract | ||
|---|---|---|
Multiagent reinforcement learning (MARL) has recently attracted considerable attention from both academics and practitioners. Core issues, e.g., the curse of dimensionality due to the exponential growth of agent interactions and nonstationary environments due to simultaneous learning, hinder the large-scale proliferation of MARL. These problems deteriorate with an increased number of agents. To ad... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCYB.2020.3025491 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Games,Training,Collaborative work,Task analysis,Nash equilibrium,Sociology,Statistics | Journal | 51 |
Issue | ISSN | Citations |
10 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guiyang Luo | 1 | 23 | 4.35 |
| Hui Zhang | 2 | 403 | 71.41 |
| Haibo He | 3 | 3653 | 213.96 |
| Jinglin Li | 4 | 150 | 30.39 |
| Fei-Yue Wang | 5 | 161 | 21.26 |