Cover Image

Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Soumalias, Ermis, Heiss, Jakob, Weissteiner, Jakob, Seuken, Sven
Format:	Preprint
Published:	2024
Subjects:	Computer Science and Game Theory Artificial Intelligence Machine Learning 91A06, 68T07, 91-08, 91B26 I.2; I.2.6; J.4
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning-Powered Combinatorial Clock Auction
by: Soumalias, Ermis, et al.
Published: (2023)

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing
by: Meng, Linghui, et al.
Published: (2026)

HOB: A Holistically Optimized Bidding Strategy under Heterogeneous Auction Mechanisms with Organic Traffic
by: Li, Qi, et al.
Published: (2025)

Law-Strength Frontiers and a No-Free-Lunch Result for Law-Seeking Reinforcement Learning on Volatility Law Manifolds
by: Zhang, Jian'an
Published: (2025)

Learning to Manipulate under Limited Information
by: Holliday, Wesley H., et al.
Published: (2024)

What Suppresses Nash Equilibrium Play in Large Language Models? Mechanistic Evidence and Causal Control
by: Lekeas, Paraskevas V., et al.
Published: (2026)

Games with Payments between Learning Agents
by: Kolumbus, Yoav, et al.
Published: (2024)

AI Agents for the Dhumbal Card Game: A Comparative Study
by: Malla, Sahaj Raj
Published: (2025)

A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)

Improved Approximation Ratio for Strategyproof Facility Location on a Cycle
by: Rogowski, Krzysztof, et al.
Published: (2025)

The Coordination Gap: Multi-Agent Alternation Metrics for Temporal Fairness in Repeated Games
by: Papadopoulos, Nikolaos Al., et al.
Published: (2026)

Risk-Aware Deep Reinforcement Learning for Dynamic Portfolio Optimization
by: Lwele, Emmanuel, et al.
Published: (2025)

Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition
by: Pant, Vik, et al.
Published: (2026)

Ascending Auctions for Combinatorial Markets with Frictions: A Unified Framework via Discrete Convex Analysis
by: Oki, Taihei, et al.
Published: (2026)

Asset Pricing in Pre-trained Transformer
by: Lai, Shanyan
Published: (2025)

MenuNet: A Strategy-Proof Mechanism for Matching Markets
by: Sun, Zhaohong, et al.
Published: (2026)

Going with the Flow: Approximating Banzhaf Values via Graph Neural Networks
by: Kempinski, Benjamin, et al.
Published: (2025)

Computing Game Symmetries and Equilibria That Respect Them
by: Tewolde, Emanuel, et al.
Published: (2025)

Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
by: Duy, Dang Sy, et al.
Published: (2026)

On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
by: Akella, Aditya
Published: (2025)

Generative AI on Wall Street -- Opportunities and Risk Controls
by: Shen, Jackie
Published: (2025)

Three Phases of Expert Routing: How Load Balance Evolves During Mixture-of-Experts Training
by: Mouzouni, Charafeddine
Published: (2026)

The Price of Progress: Price Performance and the Future of AI
by: Gundlach, Hans, et al.
Published: (2025)

More at Stake: How Payoff and Language Shape LLM Agent Strategies in Cooperation Dilemmas
by: Huynh, Trung-Kiet, et al.
Published: (2026)

Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
by: Liu, Larkin, et al.
Published: (2025)

Effective High-order Graph Representation Learning for Credit Card Fraud Detection
by: Zou, Yao, et al.
Published: (2025)

Polyhedral Clinching Auctions for Indivisible Goods
by: Hirai, Hiroshi, et al.
Published: (2023)

ABIDES-MARL: A Multi-Agent Reinforcement Learning Environment for Endogenous Price Formation and Execution in a Limit Order Book
by: Cheridito, Patrick, et al.
Published: (2025)

Emergent Coordination in Multi-Agent Systems via Pressure Fields and Temporal Decay
by: Rodriguez, Roland
Published: (2026)

Polyhedral Clinching Auctions with a Single Sample
by: Sato, Ryosuke
Published: (2023)

Liquid Welfare and Revenue Monotonicity in Adaptive Clinching Auctions
by: Sato, Ryosuke
Published: (2025)

Shapley Values-Powered Framework for Fair Reward Split in Content Produced by GenAI
by: Glinsky, Alex, et al.
Published: (2024)

A Theory of Multilevel Interactive Equilibrium in NeuroAI
by: Chen, Zhe Sage, et al.
Published: (2026)

Limit Order Book Dynamics in Matching Markets: Microstructure, Spread, and Execution Slippage
by: Wu, Yao
Published: (2025)

Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis
by: Chinpattanakarn, Naaek, et al.
Published: (2024)

AI Mother Tongue: Self-Emergent Communication in MARL via Endogenous Symbol Systems
by: Liu, Hung Ming
Published: (2025)

Revenue-Sharing as Infrastructure: A Distributed Business Model for Generative AI Platforms
by: Mondjo, Ghislain Dorian Tchuente
Published: (2026)

Strategic Counterfactual Modeling of Deep-Target Airstrike Systems via Intervention-Aware Spatio-Causal Graph Networks
by: Meng, Wei
Published: (2025)

Uncertainty Quantification of Click and Conversion Estimates for the Autobidding
by: Zhigalskii, Ivan, et al.
Published: (2026)

The Lagrangian Method for Solving Constrained Markov Games
by: Das, Soham, et al.
Published: (2025)