- π Hi, Iβm @Silviatulli
- π I do research at 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 collaborate on industry projects involving signal processing and multimodal AI such as HABS AI
- π± I assist laboratories and courses on AI and Robotics at Sorbonne University
- π I co-teach the course of Data Science for Public Policy at Sciences Po
- π« Drop me an email: tulli@isir.upmc.fr
π€
I learn - through research, I share - through teaching, I create - through coding
Highlights
- Pro
Pinned Loading
- dyadic-minigrid
dyadic-minigrid Publicmultiplayer game and chat for collecting data on human counterfactual explanations in a collaborative learning task
JavaScript 1
- suboptimax
suboptimax Publicminmax planner for suboptimal explanations - Explainable Agency by Revealing Suboptimality in CHRI Learning Scenarios
Python
- 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
- 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 2
- 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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