Paper Citation Record · LEDGER

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization

As of 7 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 2 inbound Pith citation observations for arXiv:2607.27035.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.27035 v1

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T13:10:40.415459Z

measured 96 of 96 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:22:28.902430Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T04:22:29.075117Z

Reference resolution

94 of 94 outbound references displayed

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External citation measurements

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Outbound references

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Advances in neural information processing systems , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Advances in neural information processing systems , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Advances in neural information processing systems , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization International Conference on Machine Learning , pages=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization The Eleventh International Conference on Learning Representations , year=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization International conference on machine learning , pages=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization International Conference on Machine Learning , pages=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization SIAM Journal on Numerical Analysis , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization SIAM Journal on Numerical Analysis , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization The Annals of Mathematical Statistics , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the Nineteenth International Conference on Machine Learning , pages=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Advances in neural information processing systems , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the 41st International Conference on Machine Learning , pages=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization The Thirteenth International Conference on Learning Representations , year=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization The Twelfth International Conference on Learning Representations , year=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization The Fourteenth International Conference on Learning Representations , year=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Forty-second International Conference on Machine Learning , year=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Advances in Neural Information Processing Systems , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems , pages=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Proceedings of the 35th International Conference on Machine Learning , series=

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Superhuman ai for heads-up no-limit poker: Libratus beats top professionals

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Solving imperfect-information games via discounted regret minimization

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Deep counterfactual regret minimization

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Combining deep reinforcement learning and search for imperfect-information games

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Quasi-monte carlo variational inference

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Efficient monte carlo counterfactual regret minimization in games with many player actions

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Low-variance and zero-variance baselines for extensive-form games

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Stochastic regret minimization in extensive-form games

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Faster game solving via predictive blackwell approachability: Connecting regret matching and mirror descent

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Generalized sampling and variance in counterfactual regret minimization

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Efficient nash equilibrium approximation through monte carlo counterfactual regret minimization

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Rethinking formal models of partially observable multiagent decision making

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Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Monte carlo sampling for regret minimization in extensive games

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Observation ea61444e-67ad-4860-9749-ce588928551d · outbound

This paper cites Efficient online pruning and abstraction for imperfect information extensive-form games.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Efficient online pruning and abstraction for imperfect information extensive-form games

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.329780Z

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Observation f9afca4b-aab2-4d93-86b5-125e8efc754c · outbound

This paper cites Effective, Efficient, and General Information Abstraction for Imperfect-Information Extensive-Form Games.

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.333080Z

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Observation 3d8d9283-c9ce-4c11-8395-59ff403a7e6c · outbound

This paper cites Real-Time Parallel Counterfactual Regret Minimization.

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.335749Z

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Observation f029871a-f3f5-41d4-9aed-c00248800cec · outbound

This paper cites Rl-cfr: improving action abstraction for imperfect information extensive-form games with reinforcement learning.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Rl-cfr: improving action abstraction for imperfect information extensive-form games with reinforcement learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.339094Z

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Observation 2bbc3dd3-1fe6-4a3c-b05f-87f3aa5d961a · outbound

This paper cites PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers.

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.341741Z

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Observation 234832c0-b659-48dc-8a32-5be220ff9470 · outbound

This paper cites Online monte carlo counterfactual regret minimization for search in imperfect information games.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Online monte carlo counterfactual regret minimization for search in imperfect information games

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.344194Z

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Observation 4ecb89e7-369b-4377-8dce-d3839162177d · outbound

This paper cites On the theory of systematic sampling, i.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization On the theory of systematic sampling, i

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.346672Z

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Observation e1032c3e-c8cd-4620-b647-1f7ea93ea945 · outbound

This paper cites Simple random search of static linear policies is competitive for reinforcement learning.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Simple random search of static linear policies is competitive for reinforcement learning

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.349128Z

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Observation 4d93c4a4-2edd-43d7-b03a-f9fd13ccaee2 · outbound

This paper cites Escher: Eschewing importance sampling in games by computing a history value function to estimate regret.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Escher: Eschewing importance sampling in games by computing a history value function to estimate regret

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.351732Z

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Observation 00915647-6405-41ca-a873-78b368e52265 · outbound

This paper cites Reducing variance of stochastic optimization for approximating nash equilibria in normal-form games.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Reducing variance of stochastic optimization for approximating nash equilibria in normal-form games

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.354462Z

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Observation 0dcc18a6-2f84-4dc7-a1da-76aec25bb20c · outbound

This paper cites Faster game solving via asymmetry of step sizes.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Faster game solving via asymmetry of step sizes

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.357809Z

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Observation ec20300f-0bad-4cbc-8785-f2a294009941 · outbound

This paper cites A faster parameter-free regret matching algorithm.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization A faster parameter-free regret matching algorithm

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.360881Z

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Observation 79d0a6bb-99f9-46ab-a08e-913b1abfff4c · outbound

This paper cites Monte carlo gradient estimation in machine learning.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Monte carlo gradient estimation in machine learning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.363150Z

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Observation dd042931-689f-4f1b-8100-56d253289dfe · outbound

This paper cites DeepStack : Expert-level artificial intelligence in heads-up no-limit poker.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization DeepStack : Expert-level artificial intelligence in heads-up no-limit poker

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.366809Z

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Observation 8b571367-0696-4a38-a996-8bd1980c6c1e · outbound

This paper cites Random number generation and quasi-Monte Carlo methods.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Random number generation and quasi-Monte Carlo methods

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.369974Z

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Observation 7fa1b875-84f9-4e0c-8d0f-ec7ab5e8e8da · outbound

This paper cites Monte carlo variance of scrambled net quadrature.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Monte carlo variance of scrambled net quadrature

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.372203Z

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Observation 3622b025-bd4a-442b-a75f-5a38251ca857 · outbound

This paper cites Learning from scarce experience.

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.374436Z

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Observation a786fa0f-073a-48f1-a02d-a9ff65d854e8 · outbound

This paper cites Accelerating nash equilibrium convergence in monte carlo settings through counterfactual value based fictitious play.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Accelerating nash equilibrium convergence in monte carlo settings through counterfactual value based fictitious play

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.377222Z

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Observation 8116338d-c3b1-44ab-a4ed-b1d298090161 · outbound

This paper cites Variance reduction in monte carlo counterfactual regret minimization (vr-mccfr) for extensive form games using baselines.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Variance reduction in monte carlo counterfactual regret minimization (vr-mccfr) for extensive form games using baselines

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.380040Z

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Observation 4f994b21-9bf5-4846-ab5d-514c6d39876e · outbound

This paper cites Student of games: A unified learning algorithm for both perfect and imperfect information games.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Student of games: A unified learning algorithm for both perfect and imperfect information games

Reference 90

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.383333Z

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Observation d94af9a1-7358-41c5-980c-69e783abd7aa · outbound

This paper cites Distribution of points in a cube and approximate evaluation of integrals.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Distribution of points in a cube and approximate evaluation of integrals

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.385990Z

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Observation 0c573f7b-9f2f-4cef-a678-4106ea3717b9 · outbound

This paper cites Actor-critic policy optimization in partially observable multiagent environments.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Actor-critic policy optimization in partially observable multiagent environments

Reference 92

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.388926Z

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Observation be6e0349-e3b3-4541-ada6-d87c88483f77 · outbound

This paper cites DREAM: Deep Regret minimization with Advantage baselines and Model-free learning.

Reference 93

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.392185Z

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Observation 48ee5349-46e4-4cf5-ace7-4ec3256b71b7 · outbound

This paper cites Monte carlo continual resolving for online strategy computation in imperfect information games.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Monte carlo continual resolving for online strategy computation in imperfect information games

Reference 94

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Observation 2d1d2969-fd0c-449e-ad48-a784b918e121 · outbound

This paper cites Sound Algorithms in Imperfect Information Games.

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.397181Z

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Observation a944d5fe-e4e1-4aea-8c91-9571a82da336 · outbound

This paper cites Meta-Learning in Self-Play Regret Minimization.

Reference 96

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.399519Z

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Observation efd38dac-cf4a-4a96-996d-68738b2af8f8 · outbound

This paper cites Solving Large Imperfect Information Games Using CFR+.

Reference 97

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.402079Z

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Observation 1b45d45f-eb62-4f35-91fe-48f95cbfb9c4 · outbound

This paper cites Solving games with functional regret estimation.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Solving games with functional regret estimation

Reference 98

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.404847Z

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Observation b96bb10f-9177-44ed-a732-bccafa747f24 · outbound

This paper cites Dynamic discounted counterfactual regret minimization.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Dynamic discounted counterfactual regret minimization

Reference 99

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.407883Z

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Observation aa3f784a-2243-4a5e-9850-7966cacc8a0c · outbound

This paper cites Deep (predictive) discounted counterfactual regret minimization.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Deep (predictive) discounted counterfactual regret minimization

Reference 100

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.410204Z

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Observation c6fd9235-8bf4-4137-b001-16068fa16245 · outbound

This paper cites Faster game solving via hyperparameter schedules.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Faster game solving via hyperparameter schedules

Reference 101

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.413280Z

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Observation 1adbb9a6-0f2e-49ef-b20a-d142d2a516eb · outbound

This paper cites Regret minimization in games with incomplete information.

Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization Regret minimization in games with incomplete information

Reference 102

Resolution: unresolved; no resolver link, observed 2026-07-30T13:10:40.415459Z

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Pith citing papers

Observation e04489e2-452a-430d-8bd1-fe7c8c8668dd · inbound

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation cites this paper.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization

Reference 90

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.409963Z

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Observation 3fa5cc88-6f28-497c-8be2-8d8eef14557e · inbound

AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games cites this paper.

AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:22:29.079025Z

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