Name
Abstract | ||
|---|---|---|
Goal representation globalized dual heuristic dynamic programming (Gr-GDHP) method is proposed in this paper. A goal neural network is integrated into the traditional GDHP method providing an internal reinforcement signal and its derivatives to help the control and learning process. From the proposed architecture, it is shown that the obtained internal reinforcement signal and its derivatives can ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCYB.2016.2598282 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Neural networks,Dynamic programming,Algorithm design and analysis,Nickel,Optimal control,Adaptive systems,Process control | Dynamic programming,Mathematical optimization,Optimal control,Algorithm design,Computer simulation,Adaptive system,Computer science,Inductive programming,Process control,Artificial intelligence,Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
47 | 10 | 2168-2267 |
Citations | PageRank | References |
10 | 0.49 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangnan Zhong | 1 | 346 | 16.35 |
| Zhen Ni | 2 | 525 | 33.47 |
| Haibo He | 3 | 3653 | 213.96 |