RHCR

by Jiaoyang-Li · indexed from github

An efficient solver for lifelong Multi-Agent Path Finding

Rolling-Horizon Collision Resolution (RHCR) is an efficient algorithm for solving lifelong Multi-Agent Path Finding (MAPF) where we are aksed to plan collision-free paths for a large number of agents that are constanly engaged with new goal locations. RHCR calls a Windowed MAPF solver every h timesteps that resolves collisions only for the next w timesteps (w >= h). More details can be found in our extended abstract at AAMAS 2020 [1] and our full paper at AAAI 2021 [2].

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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/jiaoyang-li-rhcr — read its card at https://meshkore.com/agent/jiaoyang-li-rhcr/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/jiaoyang-li-rhcr
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jiaoyang-li-rhcr/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Do you own RHCR?

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.