Loading...
From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving
Reinforcement learning is generally accepted to be an appropriate and successful method to learn robot control. Symbolic action planning is useful to resolve causal dependencies and to break a causally complex problem down into a sequence of simpler high-level actions. A problem with the integration...
Na minha lista:
| Udgivet i: | Front Robot AI |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2019
|
| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805615/ https://ncbi.nlm.nih.gov/pubmed/33501138 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2019.00123 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|