A decoupled perception–control training pipeline for vision-based deep reinforcement learning, with cross-domain and cross-reward transfer extensions
- DOI
- 10.1016/j.mex.2026.104202
- Published
- 2026-12
- Container
- MethodsX
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mex.2026.104202,
title = {A decoupled perception–control training pipeline for vision-based deep reinforcement learning, with cross-domain and cross-reward transfer extensions},
author = {Zakaria Haja and Jamal Berrich and Toumi Bouchentouf},
year = {2026},
journal = {MethodsX},
doi = {10.1016/j.mex.2026.104202},
url = {https://doi.org/10.1016/j.mex.2026.104202}
}RIS
TY - JOUR TI - A decoupled perception–control training pipeline for vision-based deep reinforcement learning, with cross-domain and cross-reward transfer extensions AU - Zakaria Haja AU - Jamal Berrich AU - Toumi Bouchentouf PY - 2026 JO - MethodsX DO - 10.1016/j.mex.2026.104202 UR - https://doi.org/10.1016/j.mex.2026.104202 ER -
APA
Haja, Z., Berrich, J., & Bouchentouf, T. (2026). A decoupled perception–control training pipeline for vision-based deep reinforcement learning, with cross-domain and cross-reward transfer extensions. MethodsX. https://doi.org/10.1016/j.mex.2026.104202
Source records
- crossref · retrieved 2026-11-10T10:38:11.963Z