conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Game Theory

939 papers

Papers per year

1
3
6
111
93
'05
'10
'15
'20
'25

Papers

No-Regret Learning for Fair Multi-Agent Social Welfare Optimization NIPS 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NIPS 2024
Opponent Modeling based on Subgoal Inference NIPS 2024
Opponent Modeling with In-context Search NIPS 2024
Policy Aggregation NIPS 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NIPS 2024
Bias Detection via Signaling NIPS 2024
Safe Exploitative Play with Untrusted Type Beliefs NIPS 2024
On scalable oversight with weak LLMs judging strong LLMs NIPS 2024
Pricing and Competition for Generative AI NIPS 2024
Convergence of No-Swap-Regret Dynamics in Self-Play NIPS 2024
Online Bayesian Persuasion Without a Clue NIPS 2024
Contracting with a Learning Agent NIPS 2024
Axioms for AI Alignment from Human Feedback NIPS 2024
Monoculture in Matching Markets NIPS 2024
Sample Complexity of Posted Pricing for a Single Item NIPS 2024
Fairness-Aware Meta-Learning via Nash Bargaining NIPS 2024
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation NIPS 2024
Multi-Winner Reconfiguration NIPS 2024
Differentially Private Reinforcement Learning with Self-Play NIPS 2024
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games NIPS 2024
Learning to Price Homogeneous Data NIPS 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NIPS 2024
Understanding Model Selection for Learning in Strategic Environments NIPS 2024