Copertina

Reducing Optimism Bias in Incomplete Cooperative Games

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Úradník, Filip, Sychrovský, David, Černý, Jakub, Černý, Martin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Science and Game Theory Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Distribution through Repeated Market with Buying Rights
di: Sychrovský, David, et al.
Pubblicazione: (2025)

Active Value Querying to Minimize Additive Error in Subadditive Set Function Learning
di: Černý, Martin, et al.
Pubblicazione: (2026)

A New Value for Cooperative Games on Intersection-Closed Systems
di: Černý, Martin
Pubblicazione: (2025)

GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
di: Krever, Noah, et al.
Pubblicazione: (2025)

Meta-Learning in Self-Play Regret Minimization
di: Sychrovský, David, et al.
Pubblicazione: (2025)

Market Equilibria With Buying Rights
di: Loebl, Martin, et al.
Pubblicazione: (2025)

Layered Graph Security Games
di: Černý, Jakub, et al.
Pubblicazione: (2024)

Colonel Blotto with Battlefield Games
di: Afiouni, Salam, et al.
Pubblicazione: (2025)

Commitment to Sparse Strategies in Two-Player Games
di: Afiouni, Salam, et al.
Pubblicazione: (2024)

Optimism Without Regularization: Constant Regret in Zero-Sum Games
di: Lazarsfeld, John, et al.
Pubblicazione: (2025)

Contested Route Planning
di: Černý, Jakub, et al.
Pubblicazione: (2025)

Approximating Nash Equilibria in General-Sum Games via Meta-Learning
di: Sychrovský, David, et al.
Pubblicazione: (2025)

Learning not to Regret
di: Sychrovský, David, et al.
Pubblicazione: (2023)

Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
di: Feng, Yi, et al.
Pubblicazione: (2024)

Spatial Branch-and-Bound for Computing Multiplayer Nash Equilibrium
di: Černý, Jakub, et al.
Pubblicazione: (2025)

Faster Rates for No-Regret Learning in General Games via Cautious Optimism
di: Soleymani, Ashkan, et al.
Pubblicazione: (2025)

Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games
di: Soleymani, Ashkan, et al.
Pubblicazione: (2025)

Contested Logistics: A Game-Theoretic Approach
di: Cerny, Jakub, et al.
Pubblicazione: (2024)

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
di: Tran, Nam Phuong, et al.
Pubblicazione: (2024)

Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It
di: Kim, Dongseok, et al.
Pubblicazione: (2025)

Maximin Share Guarantees via Limited Cost-Sensitive Sharing
di: Salavcova, Hana, et al.
Pubblicazione: (2026)

Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback
di: Lin, Shishen
Pubblicazione: (2025)

Online Learning for Equilibrium Pricing in Markets under Incomplete Information
di: Jalota, Devansh, et al.
Pubblicazione: (2023)

Fair Contracts in Principal-Agent Games with Heterogeneous Types
di: Tłuczek, Jakub, et al.
Pubblicazione: (2025)

Positivity and convexity in incomplete cooperative games
di: Černý, Martin, et al.
Pubblicazione: (2020)

Engineering Social Optimality via Utility Shaping in Non-Cooperative Games under Incomplete Information and Imperfect Monitoring
di: Smith, David, et al.
Pubblicazione: (2025)

Partially Observable Stochastic Games with Neural Perception Mechanisms
di: Yan, Rui, et al.
Pubblicazione: (2023)

Bayesian Optimization for Non-Cooperative Game-Based Radio Resource Management
di: Zhang, Yunchuan, et al.
Pubblicazione: (2025)

Cooperative Causal GraphSAGE
di: Xue, Zaifa, et al.
Pubblicazione: (2025)

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
di: Xin, Yun, et al.
Pubblicazione: (2025)

On the Decomposition of Differential Game
di: Zhou, Nanxiang, et al.
Pubblicazione: (2024)

Mitigating the Participation Bias by Balancing Extreme Ratings
di: Guo, Yongkang, et al.
Pubblicazione: (2025)

Corrupted Learning Dynamics in Games
di: Tsuchiya, Taira, et al.
Pubblicazione: (2024)

Learning in Structured Stackelberg Games
di: Balcan, Maria-Florina, et al.
Pubblicazione: (2025)

Learning to Steer Learners in Games
di: Zhang, Yizhou, et al.
Pubblicazione: (2025)

Blind Inverse Game Theory: Jointly Decoding Rewards and Rationality in Entropy-Regularized Competitive Games
di: Virk, Hamza, et al.
Pubblicazione: (2025)

Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
di: Thöni, Anna C. M., et al.
Pubblicazione: (2025)

Regulation Games for Trustworthy Machine Learning
di: Yaghini, Mohammad, et al.
Pubblicazione: (2024)

Scale-Invariant Fast Convergence in Games
di: Tsuchiya, Taira, et al.
Pubblicazione: (2026)

A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
di: Agarwal, Shubhankar, et al.
Pubblicazione: (2025)