Cover Image

Deep Incentive Design with Differentiable Equilibrium Blocks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Thoma, Vinzenz, Piliouras, Georgios, Marris, Luke
Format:	Preprint
Published:	2026
Subjects:	Computer Science and Game Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
by: Corecco, Nathan, et al.
Published: (2025)

Re-evaluating Open-ended Evaluation of Large Language Models
by: Liu, Siqi, et al.
Published: (2025)

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
by: Gemp, Ian, et al.
Published: (2023)

NfgTransformer: Equivariant Representation Learning for Normal-form Games
by: Liu, Siqi, et al.
Published: (2024)

Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
by: Leonardos, Stefanos, et al.
Published: (2021)

Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play
by: Lazarsfeld, John, et al.
Published: (2025)

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

Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package
by: Marris, Luke, et al.
Published: (2024)

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
by: Marris, Luke, et al.
Published: (2021)

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

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

Data-Scarce Identification of Game Dynamics via Sum-of-Squares Optimization
by: Sakos, Iosif, et al.
Published: (2023)

When and Why is Optimistic Multiplicative Weights Slow? The Geometry of Energy Dissipation
by: Lazarsfeld, John, et al.
Published: (2026)

Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
by: Gemp, Ian, et al.
Published: (2024)

Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
by: Thoma, Vinzenz, et al.
Published: (2023)

Deviation Ratings: A General, Clone-Invariant Rating Method
by: Marris, Luke, et al.
Published: (2025)

Swim till You Sink: Computing the Limit of a Game
by: Hakim, Rashida, et al.
Published: (2024)

Online Multi-Agent Control with Adversarial Disturbances
by: Barakat, Anas, et al.
Published: (2025)

Strategic Incentivization for Locally Differentially Private Federated Learning
by: Pagoti, Yashwant Krishna, et al.
Published: (2025)

No-Regret Learning and Equilibrium Computation in Quantum Games
by: Lin, Wayne, et al.
Published: (2023)

Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
by: Schiffer, Benjamin, et al.
Published: (2025)

Incentivized Collaboration in Active Learning
by: Cohen, Lee, et al.
Published: (2023)

Prior-Agnostic Incentive-Compatible Exploration
by: Ramalingam, Ramya, et al.
Published: (2026)

Incentivized Truthful Communication for Federated Bandits
by: Wei, Zhepei, et al.
Published: (2024)

Incentive-compatible Bandits: Importance Weighting No More
by: Zimmert, Julian, et al.
Published: (2024)

Incentivizing Time-Aware Fairness in Data Sharing
by: Chen, Jiangwei, et al.
Published: (2025)

Incentivized Learning in Principal-Agent Bandit Games
by: Scheid, Antoine, et al.
Published: (2024)

Incentivizing Exploration with Linear Contexts and Combinatorial Actions
by: Sellke, Mark
Published: (2023)

Learning to Lead: Incentivizing Strategic Agents in the Dark
by: Wu, Yuchen, et al.
Published: (2025)

Incentivizing Truthful Collaboration in Heterogeneous Federated Learning
by: Chakarov, Dimitar, et al.
Published: (2024)

Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg
by: Feng, Yi, et al.
Published: (2024)

Solving Zero-Sum Convex Markov Games
by: Kalogiannis, Fivos, et al.
Published: (2025)

Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
by: Ehrenberg, Maayan, et al.
Published: (2024)

Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
by: Dorner, Florian E., et al.
Published: (2023)

Incentivizing High-Quality Human Annotations with Golden Questions
by: Liu, Shang, et al.
Published: (2025)

Leaderboard Incentives: Model Rankings under Strategic Post-Training
by: Chen, Yatong, et al.
Published: (2026)

Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility
by: Kong, Fang, et al.
Published: (2024)

Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
by: Esmaeili, Seyed A., et al.
Published: (2023)

Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
by: Liu, Junyan, et al.
Published: (2025)

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings
by: Curry, Michael, et al.
Published: (2024)