A Scalable Neural Network for DSIC Affine Maximizer Auction Design
Fuente:
arXiv
Saved in:
| Main Authors: | Duan, Zhijian, Sun, Haoran, Chen, Yurong, Deng, Xiaotie |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nash Convergence of Mean-Based Learning Algorithms in First-Price Auctions
by: Deng, Xiaotie, et al.
Published: (2021)
by: Deng, Xiaotie, et al.
Published: (2021)
Approximate Revenue Maximization for Diffusion Auctions
by: Huang, Yifan, et al.
Published: (2025)
by: Huang, Yifan, et al.
Published: (2025)
Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
by: Sun, Haoran, et al.
Published: (2026)
by: Sun, Haoran, et al.
Published: (2026)
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
by: d'Eon, Greg, et al.
Published: (2024)
by: d'Eon, Greg, et al.
Published: (2024)
Scalable Mechanism Design for Multi-Agent Path Finding
by: Friedrich, Paul, et al.
Published: (2024)
by: Friedrich, Paul, et al.
Published: (2024)
Strategyproofness and Monotone Allocation of Auction in Social Networks
by: Guo, Yuhang, et al.
Published: (2025)
by: Guo, Yuhang, et al.
Published: (2025)
Exploring Welfare Maximization and Fairness in Participatory Budgeting
by: Sreedurga, Gogulapati
Published: (2024)
by: Sreedurga, Gogulapati
Published: (2024)
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach
by: Chen, Qiliang, et al.
Published: (2024)
by: Chen, Qiliang, et al.
Published: (2024)
Learning Optimal Tax Design in Nonatomic Congestion Games
by: Cui, Qiwen, et al.
Published: (2024)
by: Cui, Qiwen, et al.
Published: (2024)
Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
by: Corecco, Nathan, et al.
Published: (2025)
by: Corecco, Nathan, et al.
Published: (2025)
Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
by: Ji, Mengda, et al.
Published: (2025)
by: Ji, Mengda, et al.
Published: (2025)
RuleSmith: Multi-Agent LLMs for Automated Game Balancing
by: Zeng, Ziyao, et al.
Published: (2026)
by: Zeng, Ziyao, et al.
Published: (2026)
Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria
by: Hu, Die, et al.
Published: (2025)
by: Hu, Die, et al.
Published: (2025)
Mechanism Design With Predictions for Obnoxious Facility Location
by: Istrate, Gabriel, et al.
Published: (2022)
by: Istrate, Gabriel, et al.
Published: (2022)
Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
by: Li, Jichen, et al.
Published: (2025)
by: Li, Jichen, et al.
Published: (2025)
A Graph-Theoretical Perspective on Law Design for Multiagent Systems
by: Shi, Qi, et al.
Published: (2025)
by: Shi, Qi, et al.
Published: (2025)
Synthesis of Reward Machines for Multi-Agent Equilibrium Design (Full Version)
by: Najib, Muhammad, et al.
Published: (2024)
by: Najib, Muhammad, et al.
Published: (2024)
Online Learning of Counter Categories and Ratings in PvP Games
by: Lin, Chiu-Chou, et al.
Published: (2025)
by: Lin, Chiu-Chou, et al.
Published: (2025)
A Single Online Agent Can Efficiently Learn Mean Field Games
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
Strategic Classification With Externalities
by: Hossain, Safwan, et al.
Published: (2024)
by: Hossain, Safwan, et al.
Published: (2024)
Offline Fictitious Self-Play for Competitive Games
by: Chen, Jingxiao, et al.
Published: (2024)
by: Chen, Jingxiao, et al.
Published: (2024)
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
by: Benjamin, Patrick, et al.
Published: (2024)
by: Benjamin, Patrick, et al.
Published: (2024)
Automated Deterministic Auction Design with Objective Decomposition
by: Duan, Zhijian, et al.
Published: (2024)
by: Duan, Zhijian, et al.
Published: (2024)
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
by: Li, Zun, et al.
Published: (2023)
by: Li, Zun, et al.
Published: (2023)
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
by: Jiang, Haozhe, et al.
Published: (2023)
by: Jiang, Haozhe, et al.
Published: (2023)
ApproxED: Approximate exploitability descent via learned best responses
by: Martin, Carlos, et al.
Published: (2023)
by: Martin, Carlos, et al.
Published: (2023)
Nash Learning from Human Feedback
by: Munos, Rémi, et al.
Published: (2023)
by: Munos, Rémi, et al.
Published: (2023)
Offline Learning of Nash Stable Coalition Structures with Possibly Overlapping Coalitions
by: Cohen, Saar
Published: (2026)
by: Cohen, Saar
Published: (2026)
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
by: Yuwono, Steve, et al.
Published: (2024)
by: Yuwono, Steve, et al.
Published: (2024)
On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents
by: Loftin, Robert, et al.
Published: (2024)
by: Loftin, Robert, et al.
Published: (2024)
Mechanism-Based Intelligence (MBI): Differentiable Incentives for Rational Coordination and Guaranteed Alignment in Multi-Agent Systems
by: Grassi, Stefano
Published: (2025)
by: Grassi, Stefano
Published: (2025)
Procedural Fairness in Multi-Agent Bandits
by: Caiata, Joshua, et al.
Published: (2026)
by: Caiata, Joshua, et al.
Published: (2026)
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
by: Fabian, Christian, et al.
Published: (2024)
by: Fabian, Christian, et al.
Published: (2024)
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
by: Marris, Luke, et al.
Published: (2021)
by: Marris, Luke, et al.
Published: (2021)
Bounded Rationality Equilibrium Learning in Mean Field Games
by: Eich, Yannick, et al.
Published: (2024)
by: Eich, Yannick, et al.
Published: (2024)
Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning
by: Kudo, Mikoto, et al.
Published: (2026)
by: Kudo, Mikoto, et al.
Published: (2026)
Observation Interference in Partially Observable Assistance Games
by: Emmons, Scott, et al.
Published: (2024)
by: Emmons, Scott, et al.
Published: (2024)
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
AdaFair-MARL: Enforcing Adaptive Fairness Constraints in Multi-Agent Reinforcement Learning
by: Ekpo, Promise, et al.
Published: (2025)
by: Ekpo, Promise, et al.
Published: (2025)
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
by: Zhang, Natalia, et al.
Published: (2024)
by: Zhang, Natalia, et al.
Published: (2024)
Similar Items
-
Nash Convergence of Mean-Based Learning Algorithms in First-Price Auctions
by: Deng, Xiaotie, et al.
Published: (2021) -
Approximate Revenue Maximization for Diffusion Auctions
by: Huang, Yifan, et al.
Published: (2025) -
Enhancing Affine Maximizer Auctions with Correlation-Aware Payment
by: Sun, Haoran, et al.
Published: (2026) -
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
by: d'Eon, Greg, et al.
Published: (2024) -
Scalable Mechanism Design for Multi-Agent Path Finding
by: Friedrich, Paul, et al.
Published: (2024)