AAMAS Related Work
SkillAI & modelsThis skill helps an AI position your AAMAS paper against multiagent, game-theory, and reinforcement-learning research published across AAMAS, AAAI, IJCAI, NeurIPS, ICML, EC, and JAAMAS. Once added, the AI can draft and refine the related work section so it accounts for arXiv and workshop versions, earlier conference versions, and simultaneous submissions.
Available today. Use it from your connected AI after setup.
No other account needed.
Add the skill, then share your AAMAS draft or paper topic so the AI can review how your work is positioned against the relevant literature.
Then ask your AI: use the AAMAS Related Work skill
What your AI can do with it
- Position an AAMAS submission against multiagent, game-theory, and reinforcement-learning literature
- Compare prior work across AAMAS, AAAI, IJCAI, NeurIPS, ICML, EC, and JAAMAS
- Distinguish arXiv and workshop versions from formally published conference papers
- Tell concurrent submissions apart from earlier conference versions when framing novelty
- Write related work that cites across the multiagent, machine learning, and economics communities
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in AAMAS-Skills/skills/aamas-related-work/SKILL.md and read by ahel’s review.
Use this to audit novelty and eligibility. Reopen the current CFP for dual-submission, anonymity, and prior-publication rules before advising authors; much of the nearest multiagent work lives at other venues, which shapes both positioning and eligibility.
Positioning checks
- Separate the interaction novelty from engineering improvement: a new solution concept, mechanism, learning-dynamics result, coordination protocol, negotiation strategy, or empirical multiagent finding.
- Compare across communities: AAMAS itself, the AI conferences (AAAI, IJCAI), the ML conferences (NeurIPS, ICML), and economics-and-computation venues (EC), plus the JAAMAS journal. Many landmark multiagent papers are not at AAMAS, so a bibliography that only cites AAMAS is as suspicious as one that ignores it.
- Treat conference proceedings and journals as archival unless the current rules say otherwise.
- Cite arXiv and workshop versions without breaking double-blind; do not point reviewers to an identity-revealing page.
- Explain overlap with any concurrent or prior version, and do not submit duplicate archival work.
Cross-community coverage table
| Literature lane | Typical sources | What AAMAS reviewers check |
|---|---|---|
| Agents / multiagent core | AAMAS, JAAMAS, IJCAI, AAAI agent tracks | Whether the nearest multiagent method is compared or explicitly distinguished |
| Multiagent RL | NeurIPS, ICML, ICLR, prior AAMAS | Whether MADDPG/QMIX/COMA-style cousins are cited even though they are not AAMAS papers |
| Game theory / mechanism design | EC, GEB, algorithmic game-theory venues | Whether the solution concept and known impossibility results are acknowledged |
| Social choice / negotiation | AAMAS, AAAI, COMSOC, ADT | Whether standard axioms and strategyproofness usage are followed |
A bibliography citing only deep-MARL benchmarks tells a game-theory reviewer that known equilibrium or mechanism results may be getting rediscovered - a recognizable AAMAS reject pattern no amount of benchmark strength repairs. The mirror failure - only citing classical game theory while ignoring the deep-MARL wave - loses the empirical reviewer.
Positioning vignette
Imagine the paper proposes a communication protocol that improves cooperation in a mixed-motive game. Its nearest neighbors: a NeurIPS MARL paper with emergent communication but no incentive analysis, an EC paper with a cheap-talk equilibrium but no learning, and a prior AAMAS paper on the same game with a weaker coordination result. The novelty sentence should name all three: incentives where the MARL line had none, learning where the game-theory line stayed static, and stronger coordination than the direct AAMAS predecessor.
Concurrent-work judgment calls
- Independently concurrent arXiv work: cite neutrally, state the technical difference, and avoid priority claims reviewers cannot verify.
- Your own workshop version: usually non-archival and citable, but verify against the current CFP and phrase the citation so double-blind survives.
- When unsure about a venue's archival status, declare the overlap in the submission form rather than gambling on a chair's reading.
Output format
[Eligibility] clear / needs declaration / risky
[Closest literatures] <agents / MARL / game-theory / social-choice>
[Nearest 3 works] <work -> distinction>
[Archival-overlap risk] <none / issues>
[Novelty sentence] <AAMAS-ready interaction contrast>
Signals
- GitHub stars
- 1k
- Forks
- 146
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
aamas-related-work- Source
- github.com/brycewang-stanford/awesome-journal-skills