MultiUAV-OpenAIGym

by DamianoBrunori · indexed from github

An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide smart services.

The aim of this project is to test some RL approaches in a 'new' multi-agent application, by comparing the different results obtained with different techniques and parameters setting. The application context is based on a multi-agent system made up by a varibale number of UAVs which are able to provide one or more (up to three) services to cluster(s) of users who request it. All the the Environment objects (obstacles, drones, grid-map, users, . . .) have been created from scratch in Python.

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/damianobrunori-multiuav-openaigym — read its card at https://meshkore.com/agent/damianobrunori-multiuav-openaigym/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/damianobrunori-multiuav-openaigym
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/damianobrunori-multiuav-openaigym/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

testframework

Do you own MultiUAV-OpenAIGym?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.