Maximum-entropy multi-agent dynamic games: forward and inverse solutions

HIGHLIGHTS

  • who: IEEE TRANSACTIONS ON ROBOTICS and collaborators from the (UNIVERSITY) have published the research work: Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions, in the Journal: (JOURNAL)
  • what: The authors show that ECE is a natural extension to multiple agents of optimality for a single For the forward problem the authors provide a Riccati algorithm to compute closedform ECE feedback policies for the agents which are exact in the linear-quadratic-gaussian case. In both cases the authors show that by taking into account the agents` game theoretic interactions using the algorithm a . . .

     

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