If you found this repository helpful in discovering new opportunities, don’t keep it to yourself — share it with your friends or batchmates so they can benefit too! You can also connect with me on ...

Markets are deeply tied up with puzzles, wagers and games. Ask a hedge fund manager and a blackjack player how much money to put on a bet, and there’s a good chance they’ll both lean on a mathematical ...

This repo involves approach based on bio-inspired algorithms to solve the MATLAB and Simulink Challenge Project - Multi-UAV Path Planning for Urban Air Mobility. There is more information in this ...

Activists have called for social media giants to turn off algorithms that push hate-filled content at its users. It follows far-right violent protests in the UK and Ireland as well as steadily growing ...

Biological and artificial agents learn how to optimize behaviour through experience with an environment. Reinforcement learning theory describes the algorithms that allow an agent to iteratively ...

How do we come to like the things that we do? Each one of us starts from a relatively similar state at birth, yet we end up with vastly different sets of aesthetic preferences. These preferences go on ...

A primary goal of machine learning is to equip machines with behaviours that optimize their control over different environments. Unlike supervised or unsupervised learning, reinforcement learning, ...

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...

In strategic interactions, people can improve their performance by reasoning about their available strategies. This reasoning process can be captured with models of learning and evolutionary game ...