Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Simulation is known to be a porful technique to analyze the dynamic behavior of a variety of systems. Dynamic programming is a technique to solve sequential decision making problems. The numerical solution of a dynamic program is a table with an optimal decision for all feasible states of the system. Such a table is usually complex as it lists all states, including those that are not so likely to be visited. In the paper  show how simulation helps in solving the problem efficiently and effectively. For cases on fishery management and inventory control,  show that the combination of simulation and dynamic programming results in a better understanding of the structure of an optimal policy. The insights obtained from simulation help in bounding the state space to speed up the solution process, and have resulted in the discovery a new class of ordering policies.
['R. Haijema', 'Diana van Dijk', 'Eligius M. T. Hendrix', 'Jan van der Wal']
I am writing a research paper on a idea Simulation to discover structure in optimal dynamic control policies
[{"from": "human", "value": "I am writing a research paper on a idea Simulation to discover structure in optimal dynamic control policies"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Simulation is known to be a porful technique to analyze the dynamic behavior of a variety of systems. Dynamic programming is a technique to solve sequential decision making problems. The numerical solution of a dynamic program is a table with an optimal decision for all feasible states of the system. Such a table is usually complex as it lists all states, including those that are not so likely to be visited. In the paper  show how simulation helps in solving the problem efficiently and effectively. For cases on fishery management and inventory control,  show that the combination of simulation and dynamic programming results in a better understanding of the structure of an optimal policy. The insights obtained from simulation help in bounding the state space to speed up the solution process, and have resulted in the discovery a new class of ordering policies."}]