Corsi d'acqua sorvegliati speciali, crescono Ticino e Po: le previsioni meteo – Prima Pavia

We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.
You must be logged in to block users.
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
I’m a Postdoctoral Researcher at University of California: Irvine, working in the Intelligent Dynamics Lab led by Prof. Roy Fox. Before that, I spent time as 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.
I’m passionate about advancing Deep Reinforcement Learning (DRL) for robotics, especially making it safe and reliable in real-world, safety-critical environments. My work focuses on constrained reinforcement learning, verification, and shielding methods to ensure that robots behave safely when deployed. Lately, I’ve been diving into generative models to build world models — equipping robots with the ability to predict the future and make informed decisions based on the consequences of their actions. I’m also applying causal reasoning to structure these models better and boost their generalization to new scenarios.
⚡ Bridging the gap between theory and practical robotics is at the heart of what I do ⚡
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
Implementation of the lambda-PPO algorithm, an improved version of the standard Lagrangian Proximal Policy Optimization.
Python 1
A set of algorithms for the formal verification and analysis of Neural Networks, implemented in Python.
Python 3 2
A basic Tensorflow 2 implementation of the standard reinforcement learning algorithms, designed to solve gym-like environments.
Python 3

There was an error while loading. Please reload this page.

source