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Online and offline learning of player objectives from partial observations in dynamic games.

Lasse PetersVicenç Rúbies RoyoClaire J. TomlinLaura FerrantiJavier Alonso-MoraCyrill StachnissDavid Fridovich-Keil
Published in: Int. J. Robotics Res. (2023)
Keyphrases
  • learning algorithm
  • partial observations
  • learning process
  • reinforcement learning
  • action models
  • board game
  • supervised learning
  • partially observable
  • game players