- π Hi, Iβm @Silviatulli
- π I conduct research at the intersection of reinforcement learning and explainable AI at the Institute of Intelligent Systems and Robotics (ISIR)
- π 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
- π± I assist laboratories and courses on AI and Robotics at Sorbonne University
- π I lead the course of Data Science for Public Policy at Sciences Po
- π« Drop me an email: tulli@isir.upmc.fr
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ISIR, Sorbonne University
- around the world, currently in Paris
- silviatulli.com
- @si_tulli
- in/silvia-tulli-1bb529128
Highlights
- Pro
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dyadic-minigrid
dyadic-minigrid Publicmultiplayer game and chat for collecting data on human counterfactual explanations in a collaborative learning task
JavaScript 1
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suboptimax
suboptimax Publicminmax planner for suboptimal explanations - Explainable Agency by Revealing Suboptimality in CHRI Learning Scenarios
Python
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single-machine-scheduling
single-machine-scheduling Publicsoftware tool for solving a single machine scheduling (SMS) problem using a MiniZinc framework for constraint satisfaction problems (CSP)
Python
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XAI-tutorial
XAI-tutorial PublicForked from NataliaDiaz/XAI-tutorial
A comprehensive set of colab notebooks to showcase the principal differences among XAI techniques
Jupyter Notebook 1
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contrastive_examples_MLIRL
contrastive_examples_MLIRL PublicCodes to reproduce the results of the paper Contrastive Examples in Maximum Likelihood Inverse Reinforcement Learning
Jupyter Notebook
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