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Silviatulli/README.md
  • πŸ‘‹ Hi, I’m @Silviatulli
  • πŸ‘€ I conduct research at the intersection of reinforcement learning and explainable AI at the Institute of Intelligent Systems and Robotics (ISIR)
  • πŸ“ƒ I am interested in interactive robot learning, and I am developing an educational module on this topic, including subjects such as imitation learning and learning from human feedback HUMAN-AI net Project
  • 🌱 I assist laboratories and courses on AI and Robotics at Sorbonne University
  • πŸ“ˆ I lead the course of Data Science for Public Policy at Sciences Po
  • πŸ“« Drop me an email: tulli@isir.upmc.fr

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  1. dyadic-minigrid dyadic-minigrid Public

    multiplayer game and chat for collecting data on human counterfactual explanations in a collaborative learning task

    JavaScript 1

  2. altermax altermax Public

    two-agents setting with minmax planner for counterfactual explanations - Learning from Explanations and Demonstrations: A Pilot Study

    Jupyter Notebook 1 1

  3. suboptimax suboptimax Public

    minmax planner for suboptimal explanations - Explainable Agency by Revealing Suboptimality in CHRI Learning Scenarios

    Python

  4. single-machine-scheduling single-machine-scheduling Public

    software tool for solving a single machine scheduling (SMS) problem using a MiniZinc framework for constraint satisfaction problems (CSP)

    Python

  5. XAI-tutorial XAI-tutorial Public

    Forked from NataliaDiaz/XAI-tutorial

    A comprehensive set of colab notebooks to showcase the principal differences among XAI techniques

    Jupyter Notebook 1

  6. contrastive_examples_MLIRL contrastive_examples_MLIRL Public

    Codes to reproduce the results of the paper Contrastive Examples in Maximum Likelihood Inverse Reinforcement Learning

    Jupyter Notebook