matteoprata/RL-Self-Driving-Car

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matteoprata/RL-Self-Driving-Car

matteoprata

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Self-Driving Car Exploiting Reinforcement Learning via a Deep Learning.

LOBCAST

LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈

UAV-Swarm-Simulator

UAV-Swarm-Simulator is a Python simulator for experimenting networks of unmanned aerial vehicles.

AI4Trading

Artificial Intelligence for Trading (AI4Trading) formative activity at Sapienza University of Rome.

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Net-MARS

Net-MARS is a framework to visualize and process real computer network topologies, simulate network disruption scenarios, test network recovery algorithms.

CNN-Self-Driving-Car

Self-Driving Car Exploiting Supervised Learning via a CNN.

DeepRL-Class

Deep Q Network (DQN-CNN) in Pytorch for Self Driving Cars. 🤖🏎️

Jupyter Notebook

DRONET-for-Patrolling

UAVs Patrolling Simulator

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NLP-Semantic-Role-Labeling

Homework 3 of Natural Language Processing 2018

RL-CNP-2020

Computer Network Performance class at Sapienza University of Rome. Model free and model based Reinforcement Learning lectures.

Jupyter Notebook