multi-agent-rl
CommunityMaster MARL with QMIX, MADDPG, and CTDE.
Authortachyon-beep
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables researchers and practitioners to design and analyze learning algorithms for multi-agent environments, addressing non-stationarity, credit assignment, and coordination challenges.
Core Features & Use Cases
- Centralized training with decentralized execution (CTDE) support for cooperative, competitive, and mixed-agent settings.
- Implementations and explanations of QMIX-style value factorization and MADDPG-style centralized critics to enable stable learning.
- Use cases include robotics teams, traffic coordination, game AI, and any scenario with multiple agents learning concurrently.
Quick Start
Start experiments with MARL environments, run QMIX or MADDPG tutorials, tune environment settings, and monitor training curves.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: multi-agent-rl Download link: https://github.com/tachyon-beep/hamlet/archive/main.zip#multi-agent-rl Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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