Caricamento...
Bayesian Deep Reinforcement Learning via Deep Kernel Learning
Reinforcement learning (RL) aims to resolve the sequential decision-making under uncertainty problem where an agent needs to interact with an unknown environment with the expectation of optimising the cumulative long-term reward. Many real-world problems could benefit from RL, e.g., industrial robot...
Salvato in:
| Autori principali: | , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2018-11-01
|
| Serie: | International Journal of Computational Intelligence Systems |
| Soggetti: | |
| Accesso online: | https://www.atlantis-press.com/article/25905189/view |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|