Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Aung, Aye Phyu Phyu, Wang, Xinrun, Wang, Ruiyu, Chan, Hau, An, Bo, Li, Xiaoli, Senthilnath, J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models
by: Solomon, Indu, et al.
Published: (2024)
by: Solomon, Indu, et al.
Published: (2024)
U-TELL: Unsupervised Task Expert Lifelong Learning
by: Solomon, Indu, et al.
Published: (2024)
by: Solomon, Indu, et al.
Published: (2024)
XMOL: Explainable Multi-property Optimization of Molecules
by: Aung, Aye Phyu Phyu, et al.
Published: (2024)
by: Aung, Aye Phyu Phyu, et al.
Published: (2024)
In-Context Exploiter for Extensive-Form Games
by: Li, Shuxin, et al.
Published: (2024)
by: Li, Shuxin, et al.
Published: (2024)
Reinforcement Nash Equilibrium Solver
by: Wang, Xinrun, et al.
Published: (2024)
by: Wang, Xinrun, et al.
Published: (2024)
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
by: Li, Pengdeng, et al.
Published: (2024)
by: Li, Pengdeng, et al.
Published: (2024)
Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games
by: Tang, Xiaohang, et al.
Published: (2024)
by: Tang, Xiaohang, et al.
Published: (2024)
Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games
by: Zhang, Brian Hu, et al.
Published: (2024)
by: Zhang, Brian Hu, et al.
Published: (2024)
Configurable Mirror Descent: Towards a Unification of Decision Making
by: Li, Pengdeng, et al.
Published: (2024)
by: Li, Pengdeng, et al.
Published: (2024)
Distance Preservation Games
by: Aziz, Haris, et al.
Published: (2025)
by: Aziz, Haris, et al.
Published: (2025)
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs
by: An, Zijian, et al.
Published: (2025)
by: An, Zijian, et al.
Published: (2025)
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
by: Patel, Deep, et al.
Published: (2025)
by: Patel, Deep, et al.
Published: (2025)
The Oracle Complexity of Simplex-based Matrix Games
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
by: Xu, Renzhe, et al.
Published: (2025)
by: Xu, Renzhe, et al.
Published: (2025)
Obnoxious Facility Location Problems: Strategyproof Mechanisms Optimizing $L_p$-Aggregated Utilities and Costs
by: Chan, Hau, et al.
Published: (2025)
by: Chan, Hau, et al.
Published: (2025)
Strategyproof Facility Location with Prediction: Minimizing the Maximum Cost
by: Chan, Hau, et al.
Published: (2025)
by: Chan, Hau, et al.
Published: (2025)
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
by: Xu, Renzhe, et al.
Published: (2024)
by: Xu, Renzhe, 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)
Game Theory Meets Statistical Mechanics in Deep Learning Design
by: Bouchaffra, Djamel, et al.
Published: (2024)
by: Bouchaffra, Djamel, et al.
Published: (2024)
Attacking and Securing Community Detection: A Game-Theoretic Framework
by: Niu, Yifan, et al.
Published: (2025)
by: Niu, Yifan, et al.
Published: (2025)
A Game-Theoretic Framework for Privacy-Aware Client Sampling in Federated Learning
by: Yuan, Wenhao, et al.
Published: (2024)
by: Yuan, Wenhao, et al.
Published: (2024)
Mechanism Design for Extending the Accessibility of Facilities
by: Chan, Hau, et al.
Published: (2024)
by: Chan, Hau, et al.
Published: (2024)
Mechanism Design for Connecting Regions Under Disruptions
by: Chan, Hau, et al.
Published: (2026)
by: Chan, Hau, et al.
Published: (2026)
Deep Learning for Double Auction
by: Liu, Jiayin, et al.
Published: (2025)
by: Liu, Jiayin, et al.
Published: (2025)
Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games
by: Peng, Nianli, et al.
Published: (2024)
by: Peng, Nianli, et al.
Published: (2024)
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
by: Li, Pengdeng, et al.
Published: (2024)
by: Li, Pengdeng, et al.
Published: (2024)
Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025)
by: Thöni, Anna C. M., et al.
Published: (2025)
Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching
by: Shi, Zhekun, et al.
Published: (2025)
by: Shi, Zhekun, et al.
Published: (2025)
MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems
by: Nöther, Jonathan, et al.
Published: (2026)
by: Nöther, Jonathan, et al.
Published: (2026)
Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional Games
by: Chan, T-H. Hubert, et al.
Published: (2024)
by: Chan, T-H. Hubert, et al.
Published: (2024)
Contextual Search in Principal-Agent Games: The Curse of Degeneracy
by: Feng, Yiding, et al.
Published: (2025)
by: Feng, Yiding, et al.
Published: (2025)
Centralized Group Equitability and Individual Envy-Freeness in the Allocation of Indivisible Items
by: Wang, Ying, et al.
Published: (2025)
by: Wang, Ying, et al.
Published: (2025)
Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning
by: Shi, Zhuan, et al.
Published: (2024)
by: Shi, Zhuan, et al.
Published: (2024)
Decision-Making on Timing and Route Selection: A Game-Theoretic Approach
by: Wang, Chenlan, et al.
Published: (2025)
by: Wang, Chenlan, et al.
Published: (2025)
Partially Observable Stochastic Games with Neural Perception Mechanisms
by: Yan, Rui, et al.
Published: (2023)
by: Yan, Rui, et al.
Published: (2023)
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
by: Wang, Jianhong, et al.
Published: (2025)
by: Wang, Jianhong, et al.
Published: (2025)
HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
On the Decomposition of Differential Game
by: Zhou, Nanxiang, et al.
Published: (2024)
by: Zhou, Nanxiang, et al.
Published: (2024)
Playing Large Games with Oracles and AI Debate
by: Chen, Xinyi, et al.
Published: (2023)
by: Chen, Xinyi, et al.
Published: (2023)
Learning in Structured Stackelberg Games
by: Balcan, Maria-Florina, et al.
Published: (2025)
by: Balcan, Maria-Florina, et al.
Published: (2025)
Similar Items
-
Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models
by: Solomon, Indu, et al.
Published: (2024) -
U-TELL: Unsupervised Task Expert Lifelong Learning
by: Solomon, Indu, et al.
Published: (2024) -
XMOL: Explainable Multi-property Optimization of Molecules
by: Aung, Aye Phyu Phyu, et al.
Published: (2024) -
In-Context Exploiter for Extensive-Form Games
by: Li, Shuxin, et al.
Published: (2024) -
Reinforcement Nash Equilibrium Solver
by: Wang, Xinrun, et al.
Published: (2024)