Taming MAML: efficient unbiased meta-reinforcement learning

DIAMANTS is an open-source platform for distributed intelligence and swarm robotics. It unites ROS2, Python/Mesa, WebGL, and Kubernetes into a scalable stack that enables real-time orchestration of autonomous systems, from collaborative simulation to large-scale drone operations in the field.

RL-Diffusion for Adaptive Scheduling

This repository contains data science tools and methods, and my take and notes on some of them

An Intelligent Traffic Light Control system using Reinforcement Learning. Compares Deep Q-Network (DQN) and Tabular Q-Learning to optimize traffic flow in SUMO simulator.

A simple reinforcement learning example using tabular Q-learning to teach an agent to navigate a 5×5 grid from the top-left corner to the bottom-right corner, avoiding obstacles along the way.

This repository contains my Bachelor's thesis in Mathematics, which focuses on stochastic differential equations and the derivation of the Black-Scholes formula for option pricing. I'm currently expanding this work by integrating deep reinforcement learning techniques to explore modern approaches in financial modeling.

Building the strong structured code and using FinRL to find the best configurations of agent for multistock trading

Final Year Project at UAM. study and develop of a fire monitoring system using drones.Using a Unity3D enviroment and reinforce learning to train the agents to track the fire expansion and obtain information with a high degree of reliability with respect to the real fire growth.

Implementation of Proximal Policy Optimization (PPO) applied to Super Mario Bros using PyTorch.

AI-powered HVAC optimization system that uses Reinforcement Learning to intelligently place vents for maximum cooling efficiency and minimal energy consumption.

Code, data, and documentation for the Saliency Project, the core of my Master’s thesis in Psychology. This study explores how salient cues impact human learning and decisions in a two-armed bandit task with dynamic reward probabilities. Includes PsychoPy script and R data analysis workflows.

Project for a class in the Bachelor degree in Informatics and Multimedia Engineering