A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.

Training of Drone Swarms using StableBaselines3, PettingZoo, AirSim and UE4

An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB camera inputs to make real-time acceleration and steering decisions.

The project presents a drone obstacle avoidance system using Microsoft AirSim and the DDPG algorithm, training drones with LIDAR and depth sensors for improved real-time navigation. It compares the implementation of DDPG algorithm with different sensors and their combination.

Reinforcement learning for crawling robot

RL algorithm for stock trading with multiple reward functions

Repository with all source files relating to the 6CCE3EEP Final Year Project titled "Self Parking with Reinforcement Learning." The project was implemented using Python, and used PyGame, OpenAI Gym, and the Stable Baselines-3 libraries in order to implement a Proximal Policy Optimisation (PPO) algorithm.

Application of reinforcement learning to the management of traffic light intersection

Training of Drone Swarms using StableBaselines3, PettingZoo, AirSim and UE4

Reinforce learning gym for Elden Ring, based on gymnaium and stable baseline3, PPO

State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping

This repository contains an implementation of stable bipedal locomotion control for humanoid robots using the Soft Actor-Critic (SAC) algorithm, simulated within the MuJoCo physics engine and trained using Gymnasium and Stable Baselines 3.

A RL algorithm (PPO) for game AI with chase and avoid behavior.

training an agent to navigate a 2D space

Bachelor's Thesis Sergio Vittorio Zambelli - 2023/2024

PPO agent and A2C agents for Flappybird. Includes scripts, training code, and evaluation tools.

AI Gym environment for Castlevania: The Adventure (Game Boy), using the PyBoy emulator.

Autonomous Navigation with Deep Reinforcement Learning in CARLA

Program made for my bachelor's thesis. It compares efficency of different reinforcement learning algorithms at playing Minesweeper.

Reinforced learning for the swing-up problem of the tri-pendulum.