Qualitative Spatial Abstraction in Reinforcement Learning
Reinforcement learning has developed as a successful learning approach for domains that are not fully understood and that are too complex to be described in closed form. However, reinforcement learning does not scale well to large and continuous problems.
Сохранить в:
| Главный автор: | |
|---|---|
| Формат: | |
| Язык: | English |
| Опубликовано: |
Springer
2012
|
| Предметы: | |
| Online-ссылка: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30496 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
Ваш комментарий будет первым!