Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation | Paper Citation Record

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Bowling , title =

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Artificial Intelligence and Statistics , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation ACM Transactions on Economics and Computation (TEAC) , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in neural information processing systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Science , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in Neural Information Processing Systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation International Conference on Machine Learning , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Forty-first International Conference on Machine Learning , year=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Science , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Science , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Science , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in neural information processing systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in neural information processing systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in neural information processing systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the AAAI conference on artificial intelligence , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation International conference on machine learning , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in neural information processing systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation The Annals of Statistics , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation CoRR , volume =

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation The International FLAIRS Conference Proceedings , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation AAAI Technical Report (2) , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation AAAI , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the 3rd AAAI Conference on Interactive Decision Theory and Game Theory , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the 41st International Conference on Machine Learning , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation The Thirteenth International Conference on Learning Representations , year=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in Neural Information Processing Systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation IEEE Transactions on Cybernetics , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Journal of Artificial Intelligence Research , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in Neural Information Processing Systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Advances in Neural Information Processing Systems , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation The Twelfth International Conference on Learning Representations , year=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation International Conference on Machine Learning , pages=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation The Twelfth International Conference on Learning Representations , year=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Exploiting opponents under utility constraints in sequential games

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Heads-up limit hold'em poker is solved

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Regret-based pruning in extensive-form games

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Safe and nested subgame solving for imperfect-information games

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Superhuman ai for heads-up no-limit poker: Libratus beats top professionals

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Superhuman ai for multiplayer poker

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Dynamic thresholding and pruning for regret minimization

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Depth-limited solving for imperfect-information games

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Deep counterfactual regret minimization

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Combining deep reinforcement learning and search for imperfect-information games

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation StratFormer: Adaptive Opponent Modeling and Exploitation in Imperfect-Information Games

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Test-then-punish: A statistical approach to repeated games

Reference 67

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Observation 9a7f5ecc-47df-4264-8e7e-a84f97a047f6 · outbound

This paper cites Faster game solving via predictive blackwell approachability: Connecting regret matching and mirror descent.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Faster game solving via predictive blackwell approachability: Connecting regret matching and mirror descent

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.357580Z

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Observation 5909783a-a95a-4973-ade1-106ebb0a8bbb · outbound

This paper cites Regret matching+:(in) stability and fast convergence in games.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Regret matching+:(in) stability and fast convergence in games

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.359894Z

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Observation 44dc54f6-4101-4a0c-a91b-cb1d52494560 · outbound

This paper cites Greedy when sure and conservative when uncertain about the opponents.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Greedy when sure and conservative when uncertain about the opponents

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.362064Z

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Observation 32afac23-d830-4e68-9d3f-0aa4f6c1692f · outbound

This paper cites Consistent Opponent Modeling in Imperfect-Information Games.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Consistent Opponent Modeling in Imperfect-Information Games

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.364343Z

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Observation 3055ca0f-38f2-4789-a549-2d6f37f7d6a6 · outbound

This paper cites Nonparametric strategy test.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Nonparametric strategy test

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.366877Z

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Observation 6126bee9-c13b-4d0f-bd5b-26e8540ecbab · outbound

This paper cites Safe opponent exploitation.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Safe opponent exploitation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.369505Z

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Observation 509423cb-1d88-4611-9e23-675f6ef702ac · outbound

This paper cites Anytime Detection of Strategic Deviations in Multi-Agent Systems.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Anytime Detection of Strategic Deviations in Multi-Agent Systems

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.372071Z

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Observation 16e03f78-fcd7-4305-9560-2460f4685c92 · outbound

This paper cites Modeling rationality: Toward better performance against unknown agents in sequential games.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Modeling rationality: Toward better performance against unknown agents in sequential games

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.374449Z

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Observation be6533dc-f740-4fee-a582-d6ed481f9e3d · outbound

This paper cites Efficient subgame refinement for extensive-form games.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Efficient subgame refinement for extensive-form games

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.376811Z

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Observation c4e12683-7496-4807-8c67-4193e47ef89c · outbound

This paper cites Safe and robust subgame exploitation in imperfect information games.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Safe and robust subgame exploitation in imperfect information games

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.379022Z

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Observation 67d7222f-ba3a-4cea-bb71-d285ad555004 · outbound

This paper cites Proposer of the vote of thanks to waudy-smith and ramdas and contribution to the discussion of `estimating means of bounded random variables by betting'.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Proposer of the vote of thanks to waudy-smith and ramdas and contribution to the discussion of `estimating means of bounded random variables by betting'

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.381403Z

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Observation 559cedc7-0e83-4b73-a813-ea21725b0868 · outbound

This paper cites Effective short-term opponent exploitation in simplified poker.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Effective short-term opponent exploitation in simplified poker

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.383750Z

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Observation 3a51915e-9bd6-4e5d-8720-da5cfdc9e1a6 · outbound

This paper cites Time-uniform, nonparametric, nonasymptotic confidence sequences.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Time-uniform, nonparametric, nonasymptotic confidence sequences

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.386236Z

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Observation cd9039aa-61de-4b44-b3dd-b54516cbabc1 · outbound

This paper cites Towards offline opponent modeling with in-context learning.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Towards offline opponent modeling with in-context learning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.388962Z

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Observation 8bfc98e1-b0a4-4def-a576-b1d0c2be4cc9 · outbound

This paper cites Opponent modeling with in-context search.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Opponent modeling with in-context search

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.391267Z

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Observation 640c34b6-a159-44b7-a408-fdf24e3bbc46 · outbound

This paper cites An open-ended learning framework for opponent modeling.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation An open-ended learning framework for opponent modeling

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.393533Z

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Observation 9a35002d-e7f6-4fe9-ab91-65eb4269029d · outbound

This paper cites Data biased robust counter strategies.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Data biased robust counter strategies

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.395918Z

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Observation a4d838ec-50b9-4980-8756-824582a1de83 · outbound

This paper cites an unresolved cited work.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Unresolved cited work

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.398332Z

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Observation 59837463-2886-45da-8cb4-68a99c471fa9 · outbound

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

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Efficient online pruning and abstraction for imperfect information extensive-form games

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.400828Z

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Observation 6ef40b14-c882-43d0-8137-3e8f8aae0b9a · outbound

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Effective, Efficient, and General Information Abstraction for Imperfect-Information Extensive-Form Games

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.403159Z

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Observation 107caa0b-cfe2-40c3-9f78-325970cc94ec · outbound

This paper cites Real-Time Parallel Counterfactual Regret Minimization.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Real-Time Parallel Counterfactual Regret Minimization

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.405402Z

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Observation 0c987494-cf00-42b2-a323-9532e723384b · outbound

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Rl-cfr: improving action abstraction for imperfect information extensive-form games with reinforcement learning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.407650Z

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

This paper cites Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization.

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 8d7483f5-77fc-4ff0-92d7-25710fcdf6ea · outbound

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

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.412479Z

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Observation a9e2647a-dc66-4c99-b9a6-0af7618f4836 · outbound

This paper cites Safe opponent-exploitation subgame refinement.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Safe opponent-exploitation subgame refinement

Reference 92

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.414777Z

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Observation 4a5b6f77-6b26-4d9c-aebf-053a2eaf1d0f · outbound

This paper cites Opponent-limited online search for imperfect information games.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Opponent-limited online search for imperfect information games

Reference 93

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.417439Z

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Observation 810e6e45-1e4b-40e7-9c74-0fb40e08d761 · outbound

This paper cites Safe strategies for agent modelling in games.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Safe strategies for agent modelling in games

Reference 94

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.419742Z

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Observation d8ac54b5-8b81-4fcb-9c7a-e2e8036ff334 · outbound

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Efficient last-iterate convergence in solving extensive-form games

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.422670Z

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Faster game solving via asymmetry of step sizes

Reference 96

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.425081Z

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Observation f512d5a2-7c16-43d1-b2f0-dd27ea2f21a1 · outbound

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Adapting beyond the depth limit: Counter strategies in large imperfect information games

Reference 97

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.427532Z

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Observation b7f0a2bb-3fe6-42e5-8735-4d6273787a85 · outbound

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

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Deepstack: Expert-level artificial intelligence in heads-up no-limit poker

Reference 98

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.429806Z

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Observation edab7af6-664e-45a1-9e30-6ea0d1086392 · outbound

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play

Reference 99

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.432065Z

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Observation 09c48c32-efe3-4b33-b1e2-617230f6affc · outbound

This paper cites A survey of opponent modeling in adversarial domains.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation A survey of opponent modeling in adversarial domains

Reference 100

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.434218Z

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Observation 7a046576-bd18-4296-8cf7-25024d858675 · outbound

This paper cites Mcrnr: fast computing of restricted nash responses by means of sampling.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Mcrnr: fast computing of restricted nash responses by means of sampling

Reference 101

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.439864Z

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Observation 0d18b556-dd6b-4e35-af1d-c69fbfce0f8b · outbound

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Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Bayes' bluff: opponent modelling in poker

Reference 102

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.442292Z

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Observation 94963f48-b4a2-4389-9d1a-8a0bb24c26c4 · outbound

This paper cites Learning not to regret.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Learning not to regret

Reference 103

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.444636Z

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Observation 9a177a92-e23d-4ab5-8f17-720b4d78d21e · outbound

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

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Solving Large Imperfect Information Games Using CFR+

Reference 104

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.446905Z

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Observation 2aa92267-0347-4619-afe2-1fcd46db5804 · outbound

This paper cites Horse-cfr: Hierarchical opponent reasoning for safe exploitation counterfactual regret minimization.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Horse-cfr: Hierarchical opponent reasoning for safe exploitation counterfactual regret minimization

Reference 105

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.449196Z

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Observation 2f52a83a-c96d-400c-9519-9c37b0cf30ac · outbound

This paper cites Dynamic discounted counterfactual regret minimization.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Dynamic discounted counterfactual regret minimization

Reference 106

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.451676Z

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

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Deep (predictive) discounted counterfactual regret minimization

Reference 107

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.453889Z

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Observation 3e8b75cc-0ebe-43d7-912f-2e57e9028432 · outbound

This paper cites Regret minimization in games with incomplete information.

Agents That Certify Their Own Exploits: Confidence-Scheduled Restricted Responses for Safe Opponent Exploitation Regret minimization in games with incomplete information

Reference 108

Resolution: unresolved; no resolver link, observed 2026-07-31T04:48:47.456192Z

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