Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
Learning dynamics in strategic settings covering fictitious play, no-regret learning, regret matching, multi-agent reinforcement learning, self-play, and convergence results. Reference when analyzing how agents adapt strategies over time, whether learning converges to equilibrium, or how AI systems learn to play games. Use when the question involves dynamic adaptation, not static analysis.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 806bba715607ddb1d1750e9888918308a6b315690a04a00bb4204c945013d262
About this listing
- Category
- General
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.