All Stories

  1. Two Time-Scale Stochastic Approximation with Controlled Markov Noise and Off-Policy Temporal-Difference Learning
  2. Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space
  3. A Generalization of the Borkar-Meyn Theorem for Stochastic Recursive Inclusions
  4. Actor-Critic Algorithms with Online Feature Adaptation
  5. A simulation‐based algorithm for optimal pricing policy under demand uncertainty
  6. Adaptive Smoothed Functional Algorithms for Optimal Staffing Levels in Service Systems