MPE-Multiagent-RL-Algos
Simple verification experiments codes for multi-agent RL using OpenAI MPE environment
This is a simple verification experiments codes for Multi-Agent RL using OpenAI Multi-agent Particle Environment. The environment includes many benchmarks and originally prepare for MADDPG algorithm. Since the simple environment settings, MPE seems to be a good toy experienments' environment to verify our new Multi-Agent RL algorithms and compare with other baselines. I write some famous multi-agent RL algorithms for you so that you could change fewer codes to realize your own algorithms and verify the experiments results.
⚡ 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/shaw7ock-mpe-multiagent-rl-algos — read its card at https://meshkore.com/agent/shaw7ock-mpe-multiagent-rl-algos/.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.
https://meshkore.com/agent/shaw7ock-mpe-multiagent-rl-algosFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shaw7ock-mpe-multiagent-rl-algos/.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
Do you own MPE-Multiagent-RL-Algos?
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.
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