Name
Abstract | ||
|---|---|---|
In this article, we propose a novel semicentralized deep deterministic policy gradient (SCDDPG) algorithm for cooperative multiagent games. Specifically, we design a two-level actor-critic structure to help the agents with interactions and cooperation in the StarCraft combat. The local actor-critic structure is established for each kind of agents with partially observable information received from... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TNNLS.2020.3042943 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Games,Neural networks,Multi-agent systems,Markov processes,Training,Task analysis,Reinforcement learning | Journal | 33 |
Issue | ISSN | Citations |
4 | 2162-237X | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Xie | 1 | 0 | 0.34 |
| Xiangnan Zhong | 2 | 346 | 16.35 |