cs.GT

Papers

• Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System (2026)
  Yuantong Li et al.
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• Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives (2026)
  Ander Artola Velasco et al.
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• Online Fair Division with Additional Information (2026)
  Tzeh Yuan Neoh et al.
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• MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball (2026)
  Haifeng Sun et al.
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• Approximate Proportionality in Online Fair Division (2026)
  Davin Choo et al.
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• EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization (2026)
  Chinmay Maheshwari et al.
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• Snowveil: A Framework for Decentralised Preference Discovery (2026)
  Grammateia Kotsialou
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• The Optimal Sample Complexity of Linear Contracts (2026)
  Mikael M{\o}ller H{\o}gsgaard
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• Optimal Rates for Feasible Payoff Set Estimation in Games (2026)
  Annalisa Barbara et al.
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• MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems (2026)
  Jonathan N\"other et al.
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• Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives (2026)
  Ioannis Anagnostides et al.
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• Envy-Free Allocation of Indivisible Goods via Noisy Queries (2026)
  Zihan Li et al.
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• Two-Sided Time-Independent Regret for Matching Markets with Limited Interviews (2026)
  Amirmahdi Mirfakhar et al.
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• GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory (2026)
  Pepijn Cobben et al.
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• Alignment Makes Language Models Normative, Not Descriptive (2026)
  Eilam Shapira et al.
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• Learning Safely Without Knowing the World:COMPASS-Hedge (2026)
  Ting Hu et al.
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• The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More (2026)
  Lingjiao Chen et al.
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• No Coin Left Behind: Maximizing Strategic Surplus Against No-Regret Dynamics (2026)
  Yiheng Su et al.
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• Optimal Exploration of New Products under Assortment Decisions (2026)
  Jackie Baek et al.
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• Prior-Agnostic Robust Forecast Aggregation (2026)
  Zhi Chen et al.
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• Evaluating Large Language Models in a Complex Hidden Role Game (2026)
  Niklas Bauer
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• Strategic Coercion Within Alliances: The Greenland Sovereignty Game as an AI Stress Test (2026)
  Rommin Adl et al.
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• PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing Negotiations (2026)
  Yingjie Lei
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• Smoothed Elicitation Complexity for Approximate $\Gamma$-calibration of Discrete Classification Tasks (2026)
  Jessica Finocchiaro et al.
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• GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models (2026)
  Vartan Shadarevian et al.
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• Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays (2026)
  Ting Hu et al.
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• AI-Driven Alpha Decay: Algorithmic Homogenization, Reflexive Signal Erosion, and the Paradox of Intelligent Markets (2026)
  Shuchen Meng et al.
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• Game-Theoretic Modeling of Heterogeneous Investor Interactions for Stock Price Forecasting (2026)
  Yong Zhang et al.
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• Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality (2026)
  Amogh Palasamudram et al.
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• The Behavioral Credibility Trilemma: When Calibrated Autonomy Becomes Impossible (2026)
  Lauri Lov\'en et al.
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• AgentSociety: Incentivizing Agentic Social Intelligence (2026)
  Aditya Vema Reddy Kesari et al.
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• Mathematical Modelling of Ethical AI Use in Higher Education: A Coordination Game Framework for Future-Facing Learning (2026)
  Ndidi Bianca Ogbo et al.
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• Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector (2026)
  Junhao Wei et al.
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• Adaptive Bandit Algorithms for Contextual Matching Markets (2026)
  Shiyun Lin et al.
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• Evolutionary Dynamics of Cooperation in Next-Generation LLM Agent Systems: A Cross-Provider Empirical Extension (2026)
  Francisco Le\'on Z\'u\~niga Bol\'ivar (Instituci\'on Universitaria Colegio Mayor del Cauca)
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• PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers (2026)
  Boning Li et al.
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