Simulation-Based Optimization
Parametric Optimization Techniques and Reinforcement Learning
Ranked #5 in Reinforcement Learning, Ranked #30 in Operations Research
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.
Key features of this revised and improved Second Edition include:
- Extensive coverage, via step-by-step recipes, of powerful new algorithms... more
Key features of this revised and improved Second Edition include:
- Extensive coverage, via step-by-step recipes, of powerful new algorithms... more
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