@online{huangndinverse,
  author       = {Huang, Xuanqiang Angelo},
  title        = {Inverse Reinforcement Learning},
  organization = {Xuanqiang Angelo Huang's Blog},
  url          = {https://flecart.github.io/notes/inverse-reinforcement-learning/},
  langid       = {english},
  abstract     = {Bayesian Inverse Reinforcement Learning (BIRL) \# Background: The IRL Problem Setup \# Inverse Reinforcement Learning sits at the intersection of Reinforcement Learning, Bayesian Inference, and Imitation Learning. The core question is: given observed expert behavior, what reward fu}
}