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20212026
most citedImperfect-Recall Games: Equilibrium Concepts and Their Complexity

1 citations · 2 across the 15 of their papers we have counts for

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cs.GT2026

Coopshift: Post-Training Amplifies The Memory Curse In LLM Cooperation

Jiayuan Liu, Shiyi Du, Tianqin Li +3

How does post-training change cooperation during repeated interaction? Within each of seven released model lineages, we compare pretrained (Base), supervised fine-tuned (SFT), and…

cs.GT2026

What You Earn from What You Learn: Characterization and Complexity of the Value of Information

Ratip Emin Berker, Ioannis Anagnostides, Emanuel Tewolde +3

We examine the value of information in extensive-form decision problems: the largest multiplicative gain that a decision maker can obtain from an information refinement, taken over…

cs.GT2026

Do LLMs Take Care of Their Own? Similarity Signals Can Induce Cooperation

Akash Kundu, Emanuel Tewolde, Ratip Emin Berker +2

As LLM-based agents with user-instructed goals are becoming widely deployed, they increasingly encounter each other in strategic interactions, and face challenges of finding mutual…

cs.GT2026

CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas

Emanuel Tewolde, Xiao Zhang, David Guzman Piedrahita +2

It is increasingly important that LLM agents interact effectively and safely with other goal-pursuing agents, yet, recent works report the opposite trend: LLMs with stronger reason…

cs.GT2026

Decision Making under Imperfect Recall: Algorithms and Benchmarks

Emanuel Tewolde, Brian Hu Zhang, Ioannis Anagnostides +2

In game theory, imperfect-recall decision problems model situations in which an agent forgets information it held before. They encompass games such as the ``absentminded driver'' a…

cs.GT2025

On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting

Ratip Emin Berker, Emanuel Tewolde, Vincent Conitzer +3

Core stability is a natural and well-studied notion for group fairness in multi-winner voting, where the task is to select a committee from a pool of candidates. We study the setti…

cs.GT2025

Convergence of Regret Matching in Potential Games and Constrained Optimization

Ioannis Anagnostides, Emanuel Tewolde, Brian Hu Zhang +3

Regret matching (RM) -- and its modern variants -- is a foundational online algorithm that has been at the heart of many AI breakthrough results in solving benchmark zero-sum games…

cs.GT2025

The Complexity of Equilibrium Refinements in Potential Games

Ioannis Anagnostides, Maria-Florina Balcan, Kiriaki Fragkia +3

The complexity of computing equilibrium refinements has been at the forefront of algorithmic game theory research, but it has remained open in the seminal class of potential games;…

cs.GT2025

Expected Variational Inequalities

Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde +4

Variational inequalities (VIs) encompass many fundamental problems in diverse areas ranging from engineering to economics and machine learning. However, their considerable expressi…

cs.GT2025

Computing Game Symmetries and Equilibria That Respect Them

Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld +2

Strategic interactions can be represented more concisely, and analyzed and solved more efficiently, if we are aware of the symmetries within the multiagent system. Symmetries also…

cs.GT2024

The Value of Recall in Extensive-Form Games

Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides +2

Imperfect-recall games, in which players may forget previously acquired information, have found many practical applications, ranging from game abstractions to team games and testin…

cs.GT2024★ 1 cited

Imperfect-Recall Games: Equilibrium Concepts and Their Complexity

Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld +4

We investigate optimal decision making under imperfect recall, that is, when an agent forgets information it once held before. An example is the absentminded driver game, as well a…

cs.GT2023★ 1 cited

The Computational Complexity of Single-Player Imperfect-Recall Games

Emanuel Tewolde, Caspar Oesterheld, Vincent Conitzer +1

We study single-player extensive-form games with imperfect recall, such as the Sleeping Beauty problem or the Absentminded Driver game. For such games, two natural equilibrium conc…

cs.GT2021

Game Transformations That Preserve Nash Equilibria or Best-Response Sets

Emanuel Tewolde, Vincent Conitzer

In this paper, we investigate under which conditions normal-form games are (guaranteed to be) strategically equivalent. First, we show for N-player games (N >= 3) that (A) it is NP…