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

Welcome to my machine learning journey repository! 🚀 Here, I document my learning ML experiences, projects, and insights as I progress through my B.Sc. CSIT program at Tribhuvan University, Nepal. Explore various machine learning algorithms and models, including supervised, unsupervised, and reinforcement learning.

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

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

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.

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.

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.

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