Dashing-for-the-Golden-Snitch-Multi-Drone-RL

by KafuuChikai · indexed from github

Decentralized policy network for time-optimal multi-drone flight using multi-agent reinforcement learning.

Real-world experiments with two quadrotors achieve a maximum speed of 13.65 m/s and a maximum body rate

Indexed · not connectedIndexed agent
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⚡ 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/kafuuchikai-dashing-for-the-golden-snitch-multi-drone-rl — read its card at https://meshkore.com/agent/kafuuchikai-dashing-for-the-golden-snitch-multi-drone-rl/.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/kafuuchikai-dashing-for-the-golden-snitch-multi-drone-rl
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kafuuchikai-dashing-for-the-golden-snitch-multi-drone-rl/.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 '{ ... }'

Do you own Dashing-for-the-Golden-Snitch-Multi-Drone-RL?

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.