Image de couverture de livre

Policy Optimization for Dynamic Heart Transplant Allocation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Anagnostides, Ioannis, Sollie, Zachary W., Kilic, Arman, Sandholm, Tuomas
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives
par: Anagnostides, Ioannis, et autres
Publié: (2026)

Learning Potentials for Dynamic Matching and Application to Heart Transplantation
par: Zilberstein, Itai, et autres
Publié: (2026)

Near-Optimal Dynamic Matching via Coarsening with Application to Heart Transplantation
par: Zilberstein, Itai, et autres
Publié: (2026)

Computational Lower Bounds for Regret Minimization in Normal-Form Games
par: Anagnostides, Ioannis, et autres
Publié: (2024)

Barriers to Welfare Maximization with No-Regret Learning
par: Anagnostides, Ioannis, et autres
Publié: (2024)

Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
par: Zhang, Brian Hu, et autres
Publié: (2025)

On the Computational Complexity of Performative Prediction
par: Anagnostides, Ioannis, et autres
Publié: (2026)

A Polynomial-Time Algorithm for Variational Inequalities under the Minty Condition
par: Anagnostides, Ioannis, et autres
Publié: (2025)

Convergence of Regret Matching in Potential Games and Constrained Optimization
par: Anagnostides, Ioannis, et autres
Publié: (2025)

Convergence of $\text{log}(1/ε)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
par: Anagnostides, Ioannis, et autres
Publié: (2024)

On the Interplay between Social Welfare and Tractability of Equilibria
par: Anagnostides, Ioannis, et autres
Publié: (2023)

The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games
par: Anagnostides, Ioannis, et autres
Publié: (2025)

Learning and Computation of $Φ$-Equilibria at the Frontier of Tractability
par: Zhang, Brian Hu, et autres
Publié: (2025)

(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
par: Anagnostides, Ioannis, et autres
Publié: (2026)

Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset
par: Luo, Yingtao, et autres
Publié: (2025)

Expected Variational Inequalities
par: Zhang, Brian Hu, et autres
Publié: (2025)

Decision Making under Imperfect Recall: Algorithms and Benchmarks
par: Tewolde, Emanuel, et autres
Publié: (2026)

ApproxED: Approximate exploitability descent via learned best responses
par: Martin, Carlos, et autres
Publié: (2023)

Efficient $Φ$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
par: Zhang, Brian Hu, et autres
Publié: (2024)

Swap Regret Minimization Through Response-Based Approachability
par: Anagnostides, Ioannis, et autres
Publié: (2026)

The Value of Recall in Extensive-Form Games
par: Berker, Ratip Emin, et autres
Publié: (2024)

How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization
par: Fang, Yangyi, et autres
Publié: (2026)

Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation
par: Zhang, Brian, et autres
Publié: (2022)

Understanding Reference Policies in Direct Preference Optimization
par: Liu, Yixin, et autres
Publié: (2024)

The Complexity of Proper Equilibrium in Extensive-Form and Polytope Games
par: Zhang, Brian Hu, et autres
Publié: (2026)

Autoregressive Policy Optimization for Constrained Allocation Tasks
par: Winkel, David, et autres
Publié: (2024)

On the Complexity of Correlated Equilibria Beyond Normal-Form Games
par: Anagnostides, Ioannis, et autres
Publié: (2026)

Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints
par: Sid-Ali, Ahmed, et autres
Publié: (2023)

On the Power of Perturbation under Sampling in Solving Extensive-Form Games
par: Masaka, Wataru, et autres
Publié: (2025)

Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization
par: Zhai, Zhiyuan, et autres
Publié: (2026)

The Complexity of Equilibrium Refinements in Potential Games
par: Anagnostides, Ioannis, et autres
Publié: (2025)

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
par: Liang, Yongyuan, et autres
Publié: (2023)

Parameter Optimization with Conscious Allocation (POCA)
par: Inman, Joshua, et autres
Publié: (2023)

Conditional Policy Generator for Dynamic Constraint Satisfaction and Optimization
par: Lee, Wook, et autres
Publié: (2025)

Dynamically Optimal Treatment Allocation
par: Adusumilli, Karun, et autres
Publié: (2019)

PRISM: Differentially Private Synthetic Data with Structure-Aware Budget Allocation for Prediction
par: Asiaee, Amir, et autres
Publié: (2026)

One-shot Optimized Steering Vectors Mediate Safety-relevant Behaviors in LLMs
par: Dunefsky, Jacob, et autres
Publié: (2025)

Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization
par: Akgül, Abdullah, et autres
Publié: (2025)

Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVR
par: Min, Zijun, et autres
Publié: (2026)

Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning
par: Zhu, Taojie, et autres
Publié: (2026)