Data · dataset · 2026
Deep Reinforcement Learning for Adaptive AUV Navigation in Underwater Wireless Sensor Networks: Simulation and DQN Navigation Code
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.6084/m9.figshare.34036665.v1
Description
<p dir="ltr">Python implementation supporting the simulation environment and Deep Q-Network (DQN)-based adaptive AUV navigation framework presented in the study “Deep Reinforcement Learning for Adaptive AUV Navigation in Underwater Wireless Sensor Networks.” The package contains the simulation environment, DQN agent, configuration parameters, training and evaluation routines, and supporting documentation for reproducibility.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34036665.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Computer Science & AI · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Software and application security · Software and application security · Software and application security
- Inferred from text
- Simulation 75%
Provenance · 3 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34036665 | 4 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34036665 | 4 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34036665 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:460406 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Software and application security'] |
| concepts[field].anzsrc:field:460406 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Software and application security'] |
| concepts[field].anzsrc:field:460406 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Software and application security'] |
| concepts[field].local:field:computer-science-ai | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |