A Marginal Log-Likelihood Approach for the Estimation of Discount Factors of Multiple Experts in Inverse Reinforcement Learning

Babatunde H. Giwa, Chi-Guhn Lee. A Marginal Log-Likelihood Approach for the Estimation of Discount Factors of Multiple Experts in Inverse Reinforcement Learning. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021. pages 7786-7791, IEEE, 2021. [doi]

@inproceedings{GiwaL21,
  title = {A Marginal Log-Likelihood Approach for the Estimation of Discount Factors of Multiple Experts in Inverse Reinforcement Learning},
  author = {Babatunde H. Giwa and Chi-Guhn Lee},
  year = {2021},
  doi = {10.1109/IROS51168.2021.9636479},
  url = {https://doi.org/10.1109/IROS51168.2021.9636479},
  researchr = {https://researchr.org/publication/GiwaL21},
  cites = {0},
  citedby = {0},
  pages = {7786-7791},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1714-3},
}