swarm-foraging-qlearn
Q-Learning Swarm Foraging 2026: Multi-Agent RL in Dynamic Grid Environments
Embark on a journey into emergent intelligence, where autonomous agents learn to collaborate, compete, and coexist in a living, breathing digital ecosystem. Synaptic Harmony reimagines the classic foraging problem as a symphony of decentralized decision-making, where each agent—a note in the collective score—discovers optimal strategies through trial, error, and memory. This repository explores how simple reinforcement learning rules can give rise to complex, adaptive group behaviors in environments that shift like seasons and present obstacles like uncharted reefs.
⚡ 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/jaimasih05-commits-swarm-foraging-qlearn — read its card at https://meshkore.com/agent/jaimasih05-commits-swarm-foraging-qlearn/.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.
https://meshkore.com/agent/jaimasih05-commits-swarm-foraging-qlearnFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jaimasih05-commits-swarm-foraging-qlearn/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own swarm-foraging-qlearn?
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.
Explore the mesh
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