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(Complete Item Description)
- Abstract:
Introduction to the theory and application of large-scale dynamic programming. Markov decision processes. Dynamic programming algorithms. Simulation-based algorithms. Theory and algorithms for value function approximation. Policy search methods. Games. Applications in areas such as dynamic resource allocation, finance and queueing networks, among others.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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