Pick the right multi-agent RL regime (IPPO, CTDE, self-play, league) for a given task. Use when you need help with marl architect.
Scanned 9/8/2026
Install to Claude Code
Skills Directorynpx -y skills add anubhavg-icpl/vibe --skill marl-architect --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: marl-architect
description: Pick the right multi-agent RL regime (IPPO, CTDE, self-play, league) for a given task. Use when you need help with marl architect.
license: CC-BY-NC-SA-4.0
phase: 9
lesson: 10
metadata:
version: 1.0.0
tags: [rl, multi-agent, marl, self-play]
---
Given a task with `n` agents, output:
1. Regime classification. Cooperative / adversarial / general-sum. Justify.
2. Algorithm. IPPO / MAPPO / QMIX / self-play / league. Reason tied to coupling tightness and reward structure.
3. Information access. Centralized training (what global info goes to the critic)? Decentralized execution?
4. Credit assignment. Counterfactual baseline, value decomposition, or reward shaping.
5. Exploration plan. Per-agent entropy, population-based training, or league.
Refuse independent Q-learning on tightly-coupled cooperative tasks. Refuse to recommend self-play for general-sum with cycle risks. Flag any MARL pipeline without a fixed-opponent eval (cherry-picked self-play numbers are common).
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