The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents
(α-β) Omer Madmon*, Idan Pipano*, Itamar Reinman*, Moshe Tennenholtz.
Journal of Artificial Intelligence Research (JAIR), 2025.
Annual AAAI Conference on Artificial Intelligence (AAAI), 2026, journal track.
Robust Price Discrimination
(α-β) Itai Arieli, Yakov Babichenko, Omer Madmon*, Moshe Tennenholtz.
Stony Brook International Conference on Game Theory, 2024.
Theoretical Aspects of Rationality and Knowledge (TARK), 2025.
Games and Economic Behavior (GEB), 2025.
Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
Eilam Shapira*, Omer Madmon, Reut Apel, Moshe Tennenholtz, Roi Reichart.
Transactions of the Association for Computational Linguistics (TACL), 2025.
Annual Meeting of the Association for Computational Linguistics (ACL), 2025, journal track.
The Multi-BMBY Mechanism: Proportionality-Preserving and Strategyproof Ownership Restructuring in Private Companies
(α-β) Gal Danino, Moran Koren, Omer Madmon*.
Journal of Economics and Management Strategy (JEMS), 2025.
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
(α-β) Omer Madmon*, Idan Pipano*, Itamar Reinman*, Moshe Tennenholtz.
International Conference on Learning Representations (ICLR), 2025.
Reputation-based Persuasion Platforms
(α-β) Itai Arieli, Omer Madmon*, Moshe Tennenholtz.
International Workshop on Computational Social Choice (COMSOC), 2023.
International Symposium on Algorithmic Game Theory (SAGT), 2023.
Games and Economic Behavior (GEB), 2024.
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments
Eilam Shapira*, Omer Madmon, Itamar Reinman, Samuel Joseph Amouyal, Roi Reichart, Moshe Tennenholtz.
Scaling Environments for Agents (SEA), NeurIPS Workshop, 2025.
Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games
Eilam Shapira*, Omer Madmon, Roi Reichart, Moshe Tennenholtz.
Will Synthetic Data Finally Solve the Data Access Problem? ICLR Workshop, 2025.
Cooperation Under Network-Constrained Communication
Tommy Mordo*, Omer Madmon, Moshe Tennenholtz.
RLRF: Competitive Search Agent Design via Reinforcement Learning from Ranker Feedback
Tommy Mordo*, Sagie Dekel, Omer Madmon, Moshe Tennenholtz, Oren Kurland.
Data Sharing with a Generative AI Competitor
Boaz Taitler*, Omer Madmon*, Moshe Tennenholtz, Omer Ben-Porat.
(α-β) Authors are listed in alphabetical order.
* Corresponding author(s).