On the Decomposition of Differential Game
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Nanxiang, Dong, Jing, Li, Yutian, Wang, Baoxiang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pointwise Convergence in Games with Conflicting Interest
by: Zhou, Nanxiang, et al.
Published: (2025)
by: Zhou, Nanxiang, et al.
Published: (2025)
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
by: Dong, Jing, et al.
Published: (2024)
by: Dong, Jing, et al.
Published: (2024)
Last-iterate Convergence in Regularized Graphon Mean Field Game
by: Dong, Jing, et al.
Published: (2024)
by: Dong, Jing, et al.
Published: (2024)
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
by: Dong, Jing, et al.
Published: (2024)
by: Dong, Jing, 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)
State-Constrained Zero-Sum Differential Games with One-Sided Information
by: Ghimire, Mukesh, et al.
Published: (2024)
by: Ghimire, Mukesh, et al.
Published: (2024)
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs
by: An, Zijian, et al.
Published: (2025)
by: An, Zijian, et al.
Published: (2025)
Verbalized Bayesian Persuasion
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games
by: Zhang, Lei, et al.
Published: (2024)
by: Zhang, Lei, 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)
Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures
by: Hu, Ruimeng, et al.
Published: (2025)
by: Hu, Ruimeng, et al.
Published: (2025)
Automated Deterministic Auction Design with Objective Decomposition
by: Duan, Zhijian, et al.
Published: (2024)
by: Duan, Zhijian, et al.
Published: (2024)
Value Approximation for Two-Player General-Sum Differential Games with State Constraints
by: Zhang, Lei, et al.
Published: (2023)
by: Zhang, Lei, et al.
Published: (2023)
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
by: Feng, Yi, et al.
Published: (2024)
by: Feng, Yi, et al.
Published: (2024)
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
by: Aung, Aye Phyu Phyu, et al.
Published: (2024)
by: Aung, Aye Phyu Phyu, et al.
Published: (2024)
Provable Policy Gradient Methods for Average-Reward Markov Potential Games
by: Cheng, Min, et al.
Published: (2024)
by: Cheng, Min, et al.
Published: (2024)
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)
Attacking and Securing Community Detection: A Game-Theoretic Framework
by: Niu, Yifan, et al.
Published: (2025)
by: Niu, Yifan, et al.
Published: (2025)
The Representation-Rationalizability Tradeoff in Reward Learning
by: Dong, Jing, et al.
Published: (2026)
by: Dong, Jing, et al.
Published: (2026)
Corrupted Learning Dynamics in Games
by: Tsuchiya, Taira, et al.
Published: (2024)
by: Tsuchiya, Taira, et al.
Published: (2024)
Learning in Structured Stackelberg Games
by: Balcan, Maria-Florina, et al.
Published: (2025)
by: Balcan, Maria-Florina, et al.
Published: (2025)
Learning to Steer Learners in Games
by: Zhang, Yizhou, et al.
Published: (2025)
by: Zhang, Yizhou, et al.
Published: (2025)
Blind Inverse Game Theory: Jointly Decoding Rewards and Rationality in Entropy-Regularized Competitive Games
by: Virk, Hamza, et al.
Published: (2025)
by: Virk, Hamza, et al.
Published: (2025)
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
by: Feng, Yi, et al.
Published: (2025)
by: Feng, Yi, et al.
Published: (2025)
Regulation Games for Trustworthy Machine Learning
by: Yaghini, Mohammad, et al.
Published: (2024)
by: Yaghini, Mohammad, et al.
Published: (2024)
Scale-Invariant Fast Convergence in Games
by: Tsuchiya, Taira, et al.
Published: (2026)
by: Tsuchiya, Taira, et al.
Published: (2026)
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
by: Li, Boning, et al.
Published: (2024)
by: Li, Boning, et al.
Published: (2024)
Small-Gain Nash: Certified Contraction to Nash Equilibria in Differentiable Games
by: Sharma, Vedansh
Published: (2025)
by: Sharma, Vedansh
Published: (2025)
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
by: Sychrovský, David, et al.
Published: (2025)
by: Sychrovský, David, et al.
Published: (2025)
Regret Minimization in Stackelberg Games with Side Information
by: Harris, Keegan, et al.
Published: (2024)
by: Harris, Keegan, et al.
Published: (2024)
On Tractable $Φ$-Equilibria in Non-Concave Games
by: Cai, Yang, et al.
Published: (2024)
by: Cai, Yang, et al.
Published: (2024)
Incentivized Learning in Principal-Agent Bandit Games
by: Scheid, Antoine, et al.
Published: (2024)
by: Scheid, Antoine, et al.
Published: (2024)
Reducing Optimism Bias in Incomplete Cooperative Games
by: Úradník, Filip, et al.
Published: (2024)
by: Úradník, Filip, et al.
Published: (2024)
Bayesian Learning in Episodic Zero-Sum Games
by: Yueh, Chang-Wei, et al.
Published: (2026)
by: Yueh, Chang-Wei, et al.
Published: (2026)
Adaptively Perturbed Mirror Descent for Learning in Games
by: Abe, Kenshi, et al.
Published: (2023)
by: Abe, Kenshi, et al.
Published: (2023)
Playing Markov Games Without Observing Payoffs
by: Ablin, Daniel, et al.
Published: (2025)
by: Ablin, Daniel, et al.
Published: (2025)
Protocols for Verifying Smooth Strategies in Bandits and Games
by: Christ, Miranda, et al.
Published: (2025)
by: Christ, Miranda, et al.
Published: (2025)
The Power of Regularization in Solving Extensive-Form Games
by: Liu, Mingyang, et al.
Published: (2022)
by: Liu, Mingyang, et al.
Published: (2022)
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
by: Donahue, Kate, et al.
Published: (2024)
by: Donahue, Kate, et al.
Published: (2024)
Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
by: Masiha, Saeed, et al.
Published: (2026)
by: Masiha, Saeed, et al.
Published: (2026)
Similar Items
-
Pointwise Convergence in Games with Conflicting Interest
by: Zhou, Nanxiang, et al.
Published: (2025) -
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
by: Dong, Jing, et al.
Published: (2024) -
Last-iterate Convergence in Regularized Graphon Mean Field Game
by: Dong, Jing, et al.
Published: (2024) -
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
by: Dong, Jing, 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)