Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
NeuroSymbolic-RLNet: a neuro-symbolic reinforcement learning framework for transparent sequential decision-making
Related
- Adaptive Brickwork Image Generation: A Framework for Sequential Visual Construction with Dynamic Blocks, Structural Constraints, and Reinforcement Learning
- Progressive deformation and reinforcement control of a mountain slope under sequential excavation of multiple underground openings
- DLIR-Net: a video-oriented framework for dual liquid interface line localization in transparent test tubes
- Conflict-Free Color-Clustered Sequential Belief-Propagation Decoding of Quantum LDPC Codes via Reinforcement Learning
- Hybrid neuro-symbolic graph explanation framework for fraud detection in financial transaction networks
BibTeX
@article{alsuwaiket2026neurosymbolicrlnet,
title = {{NeuroSymbolic-RLNet: a neuro-symbolic reinforcement learning framework for transparent sequential decision-making}},
author = {Mohammed Abdullah Alsuwaiket},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-71920-5},
url = {https://www.nature.com/articles/s41598-026-71920-5},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - NeuroSymbolic-RLNet: a neuro-symbolic reinforcement learning framework for transparent sequential decision-making
AU - Mohammed Abdullah Alsuwaiket
PY - 2026
DA - 2026/10/04
JO - Scientific Reports
DO - 10.1038/s41598-026-71920-5
UR - https://www.nature.com/articles/s41598-026-71920-5
SN - 2045-2322
ER -