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Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.

Lasse PetersDavid Fridovich-KeilVicenç Rúbies RoyoClaire J. TomlinCyrill Stachniss
Published in: Robotics: Science and Systems (2021)
Keyphrases
  • state space
  • neural network
  • dynamic environments
  • game theory
  • learning algorithm
  • search space
  • video games
  • state transition
  • partial information
  • discrete data
  • temporal behavior
  • weighted majority