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Research map / Learning theory and algorithms / Submodular and game algorithms

Opponent modeling and subgame solving

Use search, subgame refinement and meta-learning to play against opponents in imperfect-information games.

116 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Submodular and game algorithms, keyword cluster “game · equilibrium · equilibria”

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.

20 papers in 2023–24 and 31 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 9.9% to 12.8%.

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: 10162017: 9172018: 11182019: 11192020: 11202021: 7212022: 6222023: 13232024: 7242025: 13252026: 1826

Most cited paper of each year

Earliest papers here

What has been tried

72 papers here report 476 measured changes (a component added, removed or swapped, compared with a baseline): helped 63%, no clear effect 8%, hurt 22%, mixed 8%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Scale the Myerson price by \nicefrac{2}{3}Simulation settings tested · revenueHelpedPay to (Not) Play: Monetizing Impatience in Mobile Games (AAAI 2024 · 6 citations)
Replace uniform thresholds with query-specific thresholdsG⟨4, 5, 1⟩ · number of added documentsthree documents -> one documentHelpedOn the Power of Strategic Corpus Enrichment in Content Creation Games (AAAI 2025 · 3 citations)
add the auxiliary task during engagement-model trainingSPG · ACC0.708 -> 0.734HelpedEnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization (AAAI 2024 · 3 citations)
Set β>0 rather than β=0Leduc poker · strategy deviation from standard CFRHelpedPreference-CFR: Beyond Nash Equilibrium for Better Game Strategies (ICML 2025 · 0 citations)
Use cyclic permutations instead of the adjacent-permutation vertex set, under the stated width assumptionStrictly convex games with \Width(W) \geq \frac{n\varsigma}{c_W} · sample complexityO\RoundBr{\frac{n^{15} \log(n\delta^{-1}\varsigma^{-1})}{\varsigma^4}} -> O\RoundBr{\frac{n^{5}c_W^4 \log(n c_W \delta^{HelpedLearning the Expected Core of Strictly Convex Stochastic Cooperative Games (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 51 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 40 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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