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d-corsi/README.md

Hi there 👋

I'm an Applied Scientist and Machine Learning Engineer at Zoox by Amazon, working on machine learning for autonomous vehicles. Previously, I was a Postdoctoral Researcher at University of California: Irvine in the Intelligent Dynamics Lab led by Prof. Roy Fox, a visiting researcher with Prof. Guy Katz at the Hebrew University of Jerusalem, and completed my PhD at the University of Verona under Prof. Alessandro Farinelli.

Research Interests 🔭

I'm passionate about advancing Deep Reinforcement Learning (DRL) for robotics, with a strong focus on making it safe and reliable in real-world, safety-critical environments. My research explores:

  • Foundation models for robotics: integrating LLMs, VLMs, and VLAMs into robotic control, with a special emphasis on safety.
  • Safety in RL: constrained RL, formal verification, and shielding to ensure robots behave safely when deployed.
  • World models: building generative models that enable robots to predict the future and reason about consequences, while structuring these models with causal inference to improve their generalization across tasks and environments. ⚡ Bridging the gap between theory and practical robotics is at the heart of what I do ⚡

📫 Contact 📫

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  1. eProVe eProVe Public

    This is the python implementation of ϵ-ProVe, a tool for the "AllDNN-Verification Problem" (i.e., the problem of computing the set of all the areas that do not result in a violation for a given DNN…

    Python

  2. lambda-PPO lambda-PPO Public

    Implementation of the lambda-PPO algorithm, an improved version of the standard Lagrangian Proximal Policy Optimization.

    Python 1

  3. NetworkVerifier NetworkVerifier Public

    A set of algorithms for the formal verification and analysis of Neural Networks, implemented in Python.

    Python 3 3

  4. BasicRL BasicRL Public

    A basic Tensorflow 2 implementation of the standard reinforcement learning algorithms, designed to solve gym-like environments.

    Python 4