Table of Contents

Generative Models for Decision Making Under Distributional Shift

Pages:1–31

https://doi.org/10.1287/educ.2026.0301

Transform Method for Stochastic Processing and Matching Networks

Pages:32–62

https://doi.org/10.1287/educ.2026.0305

Multiobjective Combinatorial Optimization: Foundations, Theory, and Methods

Pages:63–94

https://doi.org/10.1287/educ.2026.0300

Modern Primal–Dual Frameworks for Prior-Free Online Resource Allocation

Pages:95–125

https://doi.org/10.1287/educ.2026.0304

Self-Adapting Approximations of Markov Decision Processes: A Guided Tour

Pages:126–153

https://doi.org/10.1287/educ.2026.0308

A Tutorial on Reinforcement Learning for LLMs: RLHF and Beyond

Pages:154–186

https://doi.org/10.1287/educ.2026.0311

Foundations of Reinforcement Learning and Control: Connections and New Perspectives

Pages:187–212

https://doi.org/10.1287/educ.2026.0310

Decision-Focused Learning: When and Why Traditional Prediction Models Fail

Pages:213–242

https://doi.org/10.1287/educ.2026.0303

Fraud Analytics as a Sequential Decision System: Integrating Machine Learning, Optimization, and Adversarial Learning

Pages:243–264

https://doi.org/10.1287/educ.2026.0299

Deep Learning for Sequential Decision Making Under Uncertainty: Foundations, Frameworks, and Frontiers

Pages:265–306

https://doi.org/10.1287/educ.2026.0307

Multiagent Online Learning in Dynamic and Uncertain Environments

Pages:307–347

https://doi.org/10.1287/educ.2026.0302

Parallel Computing for Two-Stage Stochastic Infrastructure Planning

Pages:348–376

https://doi.org/10.1287/educ.2026.0309

GPU-Accelerated Decision Optimization

Pages:377–400

https://doi.org/10.1287/educ.2026.0306

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