|
|
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
| ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) |
| |
| ID |
4659131 |
| Author(s) |
Diouane, Youssef; Lucchi, Aurelien; Patil, Vihang Prakash |
| Author(s) at UniBasel |
Lucchi, Aurelien
|
| Year |
2022 |
| Title |
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning |
| Book title (Conference Proceedings) |
International Conference on Artificial Intelligence and Statistics |
| Place of Conference |
Virtual |
| Publisher |
International Conference on Artificial Intelligence and Statistics |
| Pages |
836-859 |
| Document type (ISI) |
inproceedings |
| |
|
|
MCSS v5.8 PRO. 0.345 sec, queries - 0.000 sec
©Universität Basel | Impressum
|  |
|
19/04/2024
Research Database / FORSCHUNGSDATENBANK
|
