A carregar...
Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning
A deep Q network (DQN) (Mnih et al., 2013) is an extension of Q learning, which is a typical deep reinforcement learning method. In DQN, a Q function expresses all action values under all states, and it is approximated using a convolutional neural network. Using the approximated Q function, an optim...
Na minha lista:
| Publicado no: | Front Neurorobot |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6914867/ https://ncbi.nlm.nih.gov/pubmed/31920613 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2019.00103 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|