ICML 2024PastAgents

Agentic Markets Workshop at ICML 2024

Agentic Markets @ ICML'24

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Submission deadline: Jun 5, 2024, 13:00 UTC
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Submission portal: OpenReview
Notes: Topics were auto-suggested and may be imprecise — edits welcome.

Accepted papers (31)

Fetched from OpenReview (v2) on 2026-06-10.

Altared Environments: The Role of Normative Infrastructure in AI Alignment
Rakshit Trivedi, Nikhil Chandak, Carter Blair, Atrisha Sarkar, Tehilla Weltman, Dylan Hadfield-Menell, Gillian K Hadfield · PDF
Bilevel Optimization with Lower-Level Contextual MDPs
Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu · PDF
Collaborative Learning under Strategic Behavior: Mechanisms for Eliciting Feedback in Principal-Agent Bandit Games
Ramakrishnan K, Arpit Agarwal, Lakshminarayanan Subramanian, Maximilian Nickel · PDF
Collusion of Reinforcement Learning-based Pricing Algorithms in Episodic Markets
Paul Friedrich, Barna Pásztor, Giorgia Ramponi · PDF
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie · PDF
Composable Contracts for Multi-Agent Coordination
Christy Chen, Louis Parker · PDF
Consistency Checks for Language Model Forecasters
Abhimanyu Pallavi Sudhir, Alejandro Alvarez, Adam Shen, Daniel Paleka · PDF
Data as a Consumable Resource
Dar Gilboa, Siddhartha Jain, Jarrod Ryan McClean · PDF
Deep Reinforcement Learning for Equilibrium Computation in Multi-Stage Auctions and Contests
Fabian Raoul Pieroth, Nils Kohring, Martin Bichler · PDF
Do LLM Agents Have Regret? A Case Study in Online Learning and Games
Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang · PDF
Ethereum AI Agent Coordinator (EAAC): A Framework for AI Agent Activity Coordination
Taehoon Kim · PDF
Get It Cooperating: Enhancing Generative Agent Cooperation with Commitment Devices
Feng Yan, Qitian Jason Hu, Nan Jiang, Xinyuan Sun · PDF
Learning Stable Allocations of Strictly Convex Stochastic Cooperative Games
Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh · PDF
LLMs at the Bargaining Table
Yuan Deng, Vahab Mirrokni, Renato Paes Leme, Hanrui Zhang, Song Zuo · PDF
Mechanism Design for Large Language Models
Paul Duetting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo · PDF
On Three-Layer Data Markets
Alireza Fallah, Michael Jordan, Ali Makhdoumi, azarakhsh malekian · PDF
Performative Prediction on Games and Mechanism Design
António Góis, Mehrnaz Mofakhami, Fernando P. Santos, Simon Lacoste-Julien, Gauthier Gidel · PDF
Playing Large Games with Oracles and AI Debate
Xinyi Chen, Angelica Chen, Dean Foster, Elad Hazan · PDF
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games
Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher · PDF
RouterBench: A Benchmark for Multi-LLM Routing System
Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay · PDF
Scalable AI Safety via Doubly-Efficient Debate
Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras · PDF
Scalable Approaches for a Theory of Many Minds
Maximilian Puelma Touzel, Amin Memarian, Matthew Riemer, Andrei Mircea, Andrew Robert Williams, Elin Ahlstrand, Lucas Lehnert, Rupali Bhati, Guillaume Dumas, Irina Rish · PDF
Serial Monopoly on Blockchains with Quasi-patient Users
Paolo Penna, Manvir Schneider · PDF
Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
Zengqing Wu, Brian I. Kwon, Shuyuan Zheng, Qianying Liu, Xu Han, Makoto Onizuka, Shaojie Tang, Run Peng, Chuan Xiao · PDF
Slow Games
D Reusche, Christopher Goes, Nicolas Della Penna · PDF
Steering Language Models with Game-Theoretic Solvers
Ian Gemp, Roma Patel, Yoram Bachrach, Marc Lanctot, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls · PDF
STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making
Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh Sharifi, Dirk Bergemann, Zhuoran Yang · PDF
The Consensus Game: Language Model Generation via Equilibrium Search
Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas · PDF
To Compete or To Collude: Builder Incentives in MEV-Boost Auctions
Fei Wu, Thomas Thiery, Stefanos Leonardos, Carmine Ventre · PDF
Truthful Aggregation of LLMs\\ with an Application to Online Advertising
Ermis Soumalias, Michael Curry, Sven Seuken · PDF
WebCanvas: Benchmarking Web Agents in Online Environments
Yichen Pan, Dehan Kong, Sida Zhou, Cheng Cui, Yifei Leng, Bing Jiang, Hangyu Liu, Yanyi Shang, Shuyan Zhou, Tongshuang Wu, Zhengyang Wu · PDF

Accepted papers (31)

☆Altared Environments: The Role of Normative Infrastructure in AI Alignment

☆Bilevel Optimization with Lower-Level Contextual MDPs

☆Collaborative Learning under Strategic Behavior: Mechanisms for Eliciting Feedback in Principal-Agent Bandit Games

☆Collusion of Reinforcement Learning-based Pricing Algorithms in Episodic Markets

☆CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents

☆Composable Contracts for Multi-Agent Coordination

☆Consistency Checks for Language Model Forecasters

☆Data as a Consumable Resource

☆Deep Reinforcement Learning for Equilibrium Computation in Multi-Stage Auctions and Contests

☆Do LLM Agents Have Regret? A Case Study in Online Learning and Games

☆Ethereum AI Agent Coordinator (EAAC): A Framework for AI Agent Activity Coordination

☆Get It Cooperating: Enhancing Generative Agent Cooperation with Commitment Devices

☆Learning Stable Allocations of Strictly Convex Stochastic Cooperative Games

☆LLMs at the Bargaining Table

☆Mechanism Design for Large Language Models

☆On Three-Layer Data Markets

☆Performative Prediction on Games and Mechanism Design

☆Playing Large Games with Oracles and AI Debate

☆Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games

☆RouterBench: A Benchmark for Multi-LLM Routing System

☆Scalable AI Safety via Doubly-Efficient Debate

☆Scalable Approaches for a Theory of Many Minds

☆Serial Monopoly on Blockchains with Quasi-patient Users

☆Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents

☆Slow Games

☆Steering Language Models with Game-Theoretic Solvers

☆STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making

☆The Consensus Game: Language Model Generation via Equilibrium Search

☆To Compete or To Collude: Builder Incentives in MEV-Boost Auctions

☆Truthful Aggregation of LLMs\\ with an Application to Online Advertising

☆WebCanvas: Benchmarking Web Agents in Online Environments

Altared Environments: The Role of Normative Infrastructure in AI Alignment

Bilevel Optimization with Lower-Level Contextual MDPs

Collaborative Learning under Strategic Behavior: Mechanisms for Eliciting Feedback in Principal-Agent Bandit Games

Collusion of Reinforcement Learning-based Pricing Algorithms in Episodic Markets

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents

Composable Contracts for Multi-Agent Coordination

Consistency Checks for Language Model Forecasters

Data as a Consumable Resource

Deep Reinforcement Learning for Equilibrium Computation in Multi-Stage Auctions and Contests

Do LLM Agents Have Regret? A Case Study in Online Learning and Games

Ethereum AI Agent Coordinator (EAAC): A Framework for AI Agent Activity Coordination

Get It Cooperating: Enhancing Generative Agent Cooperation with Commitment Devices

Learning Stable Allocations of Strictly Convex Stochastic Cooperative Games

LLMs at the Bargaining Table

Mechanism Design for Large Language Models

On Three-Layer Data Markets

Performative Prediction on Games and Mechanism Design

Playing Large Games with Oracles and AI Debate

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games

RouterBench: A Benchmark for Multi-LLM Routing System

Scalable AI Safety via Doubly-Efficient Debate

Scalable Approaches for a Theory of Many Minds

Serial Monopoly on Blockchains with Quasi-patient Users

Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents

Slow Games

Steering Language Models with Game-Theoretic Solvers

STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making

The Consensus Game: Language Model Generation via Equilibrium Search

To Compete or To Collude: Builder Incentives in MEV-Boost Auctions

Truthful Aggregation of LLMs\\ with an Application to Online Advertising

WebCanvas: Benchmarking Web Agents in Online Environments