Articles

Companion code to reproduce experiments from research articles on Statistical Reinforcement Learning

List of articles

• Saber, H., Pesquerel, F., Maillard, O.A. and Talebi, M.S., 2024, February. Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits. In Asian Conference on Machine Learning (pp. 1167-1182). PMLR.

    @inproceedings{saber2024logarithmic,
      title={Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits},
      author={Saber, Hassan and Pesquerel, Fabien and Maillard, Odalric-Ambrym and Talebi, Mohammad Sadegh},
      booktitle={Asian Conference on Machine Learning},
      pages={1167--1182},
      year={2024},
      organization={PMLR}
    }
  

• Pesquerel, F. and Maillard, O.A., 2022, November. IMED-RL: Regret optimal learning of ergodic Markov decision processes. In NeurIPS 2022-Thirty-sixth Conference on Neural Information Processing Systems.

   @inproceedings{pesquerel2022imed,
     title={IMED-RL: Regret optimal learning of ergodic Markov decision processes},
     author={Pesquerel, Fabien and Maillard, Odalric-Ambrym},
     booktitle={NeurIPS 2022-Thirty-sixth Conference on Neural Information Processing Systems},
     year={2022}
   }
  

• Bourel, H., Maillard, O. and Talebi, M.S., 2020, November. Tightening exploration in upper confidence reinforcement learning. In International Conference on Machine Learning (pp. 1056-1066). PMLR.

    @inproceedings{bourel2020tightening,
          title={Tightening exploration in upper confidence reinforcement learning},
          author={Bourel, Hippolyte and Maillard, Odalric and Talebi, Mohammad Sadegh},
          booktitle={International Conference on Machine Learning},
          pages={1056--1066},
          year={2020},
          organization={PMLR}
        }