一、目录:

  • Distributed dynamic programming (as applied to path-planning problems).
  • Distributed solutions to Markov Decision Problems (MDPs).
  • Optimization algorithms with an economic flavor (as applied to matching and scheduling problems).
  • Coordination via social laws and conventions, and the example of traffic rules.

二、

  2.1  Distributed dynamic programming for path planning

  

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