A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
In recent years, Deep Reinforcement Learning (DRL) algorithms have achieved state-of-the-art performance in many challenging strategy games. Because these games have complicated rules, an action sampled from the full discrete action distribution predicted by the learned policy is likely to be invali...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
LibraryPress@UF
2022-05-01
|
| Colección: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Materias: | |
| Acceso en línea: | https://journals.flvc.org/FLAIRS/article/view/130584 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|