# Tedeschini 2024 — Cooperative Localization with MARL (Metadata)

## Bibliographic Metadata

| Field | Value |
|-------|-------|
| Author(s) | Bernardo Camajori Tedeschini et al. |
| Year | 2024 |
| Title (likely) | Cooperative Localization via Multi-Agent Reinforcement Learning |
| Topic | Multi-Agent Reinforcement Learning (MARL) for cooperative positioning/localization |
| Venue | IEEE / arXiv preprint (exact venue not confirmed) |
| arXiv search | https://arxiv.org/search/?searchtype=all&query=Tedeschini+cooperative+localization+multi-agent |

## Search Attempts
The following search queries were tried and returned empty results from arXiv search API:
- `Tedeschini cooperative localization multi-agent` (arXiv full-text search)
- `Tedeschini+cooperative+localization+MARL` (Semantic Scholar API)
- `Tedeschini localization reinforcement learning UAV` (arXiv)
- `searchtype=author&query=Tedeschini` (arXiv author search)

arXiv's search API returned empty results for all queries in the current sandbox environment
(likely due to the HTTPS proxy restriction blocking dynamic search endpoints).

## Expected Paper Content
Based on the research context (multi-agent orchestration, cooperative localization):

- **Problem**: Distributed localization of multiple mobile agents (robots/UAVs/vehicles)
  without centralized infrastructure
- **Method**: Multi-Agent Reinforcement Learning (MARL) — agents learn cooperative
  positioning policies through local observation sharing and reward coordination
- **Relevance**: Demonstrates decentralized agent coordination for a joint task (localization),
  directly paralleling the research goal of A2A-based multi-agent orchestration in
  edge/vehicular settings

## Download Instructions
1. Visit: https://arxiv.org/search/?searchtype=all&query=Tedeschini+cooperative+localization+multi-agent
2. Or search Google Scholar: `Tedeschini cooperative localization multi-agent reinforcement 2024`
3. Check: https://scholar.google.com/scholar?q=Tedeschini+2024+cooperative+localization+MARL

*Status: METADATA ONLY — Paper not retrievable through automated search in sandbox environment*
*Retrieved: 2026-06-07*
