joker-zxr/my-skills/aamas-review-process

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Use when explaining or planning around AAMAS peer review, covering OpenReview review release, the double-blind rebuttal on preliminary reviews, area-chair discussion, the mixed game-theory, MARL, and systems reviewer pool, the public posting of reviews and decisions, and how acceptance criteria weigh the interaction contribution.

Install

npx vskill@latest install joker-zxr/my-skills/aamas-review-process

SKILL.md

The same SKILL.md was published earlier as brycewang-stanford/awesome-journal-skills/aamas-review-process.

AAMAS Review Process

Use this to reason about review-stage strategy. Reopen the current CFP, OpenReview group, author and reviewer instructions, and the code of conduct before making process claims; AAMAS review specifics move between editions.

Process model

  • AAMAS runs submission and review on OpenReview under the IFAAMAS namespace in recent cycles.
  • Reviewers evaluate technical correctness, the significance of the interaction contribution,

the reality and rigor of the multiagent evaluation, clarity, reproducibility, and fit with agents-and-multiagent-systems scope.

  • A rebuttal lets authors respond to preliminary reviews before the final decision; area chairs

then synthesize.

  • Accepted papers and their reviews are published, so the review record is durable and public.
  • The most useful rebuttal gives the area chair a clean rationale for acceptance, not a

point-by-point defense of every comment.

Who reviews here

  • The pool mixes game theorists, multiagent-RL researchers, mechanism-design and social-choice

specialists, and systems-minded reviewers; expect at least one to read the game definition and solution concept line by line.

  • Because AAMAS is specialized, a paper is likely to meet a reviewer who works on exactly its

subarea, so a vague equilibrium claim or an under-specified opponent set gets caught rather than skimmed.

  • Borderline interaction papers usually fail on one of three edges: the result turns out to be

single-agent in disguise, the solution concept is never pinned down, or the multiagent evaluation is thin (self-play only, no seeds, no held-out opponents).

Scoring leverage table

Review dimensionWhat raises itWhat sinks it
CorrectnessA stated game, a named solution concept, and a body-level proof sketchHidden information structure; an equilibrium asserted but never defined
SignificanceA finding that only exists because agents interactAn incremental single-agent gain wearing a multiagent label
Empirical supportExperiments that probe strategy: held-out opponents, deviation testsSelf-play-only curves disconnected from the claim
ClarityOne notation source and a legible game descriptionNotation and payoff conventions that shift between sections

Stage-by-stage realism

  • Initial reviews: triage by what the area chair would weigh, not by reviewer tone.
  • Rebuttal: windows are short; an early, precise reply anchored in submitted evidence beats a

late exhaustive one.

  • Decision: the area chair synthesizes, and one unanswered correctness or interaction-reality

objection outweighs several resolved clarity complaints.

  • Public record: assume the reviews and your rebuttal will be visible with the paper, and keep

the exchange professional and concrete.

Output format

text
[Current stage] submitted / reviews / rebuttal / decision / camera-ready
[Decision actors] <reviewers / area chair / program chairs>
[Likely leverage] <correctness / interaction-reality / significance / experiments / clarity>
[Forbidden moves] <identity leak / new results / revised-paper upload if disallowed>
[Next response move] <one action>

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