arXiv (All)
open access
Information-Guided Safe Reinforcement Learning for Autonomous Gas Source Localization using sUAS
The autonomous localization of fugitive gas emissions using small Unmanned Aircraft Systems (sUAS) constitutes a fundamentally ill-posed inverse problem. In turbulent atmospheric boundary layers, highly intermittent scalar concentration fields violate the assumptions of classical gradient-based navi
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Meta Policy Switching for Secure UAV Deconfliction in Adversarial Airspace#1084030
- Privileged observations enable rapid and reliable policy discovery directly in the physical world#1070736
- Energy optimized scheduling in wireless sensor networks (WSNs) using hybrid bio-inspired reinforcement learning approach.#125610
- End-to-end QP-based policies: A unified perspective on robust control and robot learning#1115861
- Learning-Based Measurement-Robust Control Barrier Functions for Obstacle Avoidance under State Estimation Error#659036
Record · ID 972625
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive