The following pages link to Approximate Dynamic Programming (Q5310431):
Displaying 50 items.
- Computation of approximate optimal policies in a partially observed inventory model with rain checks (Q642900) (← links)
- Optimal Bayesian strategies for the infinite-armed Bernoulli bandit (Q643377) (← links)
- A dynamic programming strategy to balance exploration and exploitation in the bandit problem (Q647433) (← links)
- Approximation of Markov decision processes with general state space (Q663675) (← links)
- Resource allocation in congested queueing systems with time-varying demand: an application to airport operations (Q666970) (← links)
- A two-level optimization model for elective surgery scheduling with downstream capacity constraints (Q666974) (← links)
- Model-free event-triggered control algorithm for continuous-time linear systems with optimal performance (Q680566) (← links)
- Integral \(Q\)-learning and explorized policy iteration for adaptive optimal control of continuous-time linear systems (Q694822) (← links)
- Approximate dynamic programming via direct search in the space of value function approximations (Q713118) (← links)
- Discrete neural dynamic programming in wheeled mobile robot control (Q718550) (← links)
- Proximal algorithms and temporal difference methods for solving fixed point problems (Q721950) (← links)
- A review of choice-based revenue management: theory and methods (Q724103) (← links)
- The dynamic dispatch waves problem for same-day delivery (Q724132) (← links)
- Optimal learning for sequential sampling with non-parametric beliefs (Q742143) (← links)
- Energy efficiency and risk management in public buildings: strategic model for robust planning (Q744254) (← links)
- Efficient computer experiment-based optimization through variable selection (Q744721) (← links)
- Event-based optimization approach for solving stochastic decision problems with probabilistic constraint (Q828677) (← links)
- Optimal multi-stage allocation of weapons to targets using adaptive dynamic programming (Q895777) (← links)
- A reinforcement learning approach to convoy scheduling on a contested transportation network (Q895789) (← links)
- A perpetual search for talents across overlapping generations: a learning process (Q898767) (← links)
- Non-zero sum Nash Q-learning for unknown deterministic continuous-time linear systems (Q900691) (← links)
- Reinforcement learning algorithms with function approximation: recent advances and applications (Q903601) (← links)
- Synergies of operations research and data mining (Q976388) (← links)
- Optimally maintaining a Markovian deteriorating system with limited imperfect repairs (Q976454) (← links)
- Partially observable Markov decision process approximations for adaptive sensing (Q977009) (← links)
- Monotone optimal replacement policies for a Markovian deteriorating system in a controllable environment (Q991463) (← links)
- An approximate dynamic programming approach for the vehicle routing problem with stochastic demands (Q1027533) (← links)
- Resource-constrained management of heterogeneous assets with stochastic deterioration (Q1042122) (← links)
- Constraint programming and operations research (Q1616390) (← links)
- Finite-horizon LQR controller for partially-observed Boolean dynamical systems (Q1626876) (← links)
- An algorithmic approach to optimal asset liquidation problems (Q1627810) (← links)
- Online spatio-temporal matching in stochastic and dynamic domains (Q1648078) (← links)
- Evaluation of counterparty risk for derivatives with early-exercise features (Q1657201) (← links)
- Approximate dynamic programming with post-decision states as a solution method for dynamic economic models (Q1657552) (← links)
- General value iteration based single network approach for constrained optimal controller design of partially-unknown continuous-time nonlinear systems (Q1661755) (← links)
- Multidimensional endogenous gridpoint method: solving triangular dynamic stochastic optimization problems without root-finding operations (Q1663961) (← links)
- Reinforcement learning solution for HJB equation arising in constrained optimal control problem (Q1669182) (← links)
- Adaptive stochastic approximation algorithm (Q1689446) (← links)
- Asymptotic bias of stochastic gradient search (Q1704136) (← links)
- Symmetry reduction for dynamic programming (Q1716553) (← links)
- A multi-cluster time aggregation approach for Markov chains (Q1716687) (← links)
- A unified framework for stochastic optimization (Q1719609) (← links)
- Approximate policy iteration for dynamic resource-constrained project scheduling (Q1728303) (← links)
- Sensitivity-based nested partitions for solving finite-horizon Markov decision processes (Q1728313) (← links)
- Distributed adaptive dynamic programming for data-driven optimal control (Q1729050) (← links)
- An approximate dynamic programming approach for sequential pig marketing decisions at herd level (Q1734355) (← links)
- Modeling dynamic programming problems over sequences and trees with inverse coupled rewrite systems (Q1736602) (← links)
- Approximation of discounted minimax Markov control problems and zero-sum Markov games using Hausdorff and Wasserstein distances (Q1741211) (← links)
- Variance minimization of parameterized Markov decision processes (Q1745941) (← links)
- Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems (Q1750518) (← links)
