AI Paper Atlas

Research map / Multi-agent systems and games / Games and equilibria

Strategic classification

Models classifiers facing agents who adapt features, with incentives and causal analysis.

51 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Games and equilibria, keyword cluster “principal · strategic · welfare”

State History Tried Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

12 papers in 2023–24 and 17 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 9.4% to 11.9%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 3162017: 0172018: 2182019: 1192020: 4202021: 9212022: 3222023: 1232024: 11242025: 12252026: 526

Most cited paper of each year

Earliest papers here

What has been tried

37 papers here report 268 measured changes (a component added, removed or swapped, compared with a baseline): helped 57%, no clear effect 13%, hurt 22%, mixed 7%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Use a probabilistic sampler instead of hard model labels for model-annotated samplesStrategic-agent population · acceptance rateNo clear effectAutomating Data Annotation under Strategic Human Agents: Risks and Potential Solutions (NeurIPS 2024 · 1 citation)
Remove the gradient through the principal's action choiceToy environment, previously performative model · performativityHurtJoint Scoring Rules: Competition Between Agents Avoids Performative Prediction (AAAI 2025 · 0 citations)
Use the ρ-partition mechanism with ρ=1 instead of ρ=\frac{1}{2}General approval voting, k-selection · consistency1-\frac{1}{2k} -> 1HelpedImpartial Selection with Predictions (NeurIPS 2025 · 0 citations)
reduce the number of judgments by subsampling at rate α ≥ 0.4Chess · ordinal accuracyNo clear effectAggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction (NeurIPS 2024 · 0 citations)

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 29 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 38 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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