Reinforcement Sensitivity Theory (RST) has emerged as a pivotal framework for understanding the neural mechanisms underlying personality. The theory posits that individual differences in sensitivity ...

Money Mikes Syndicated Podcast: How to Start a Business You have been Chosen and You are God Gifted #chosen #god #business #hbcu #shawu Motivation is an internal state that propels individuals to ...

ABSTRACT: This dissertation explores the impact of housing accessibility on the overall well-being of international students at UWS-Paisley, utilizing quantitative research methods to analyse the ...

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...

Abstract: In the ever-changing world of decision-making, when game theory and reinforcement learning(RL) come together, they create a fascinating combination that shows a new way to solve complex ...

Reinforcement learning is a machine learning technique where agents learn to make optimal decisions by maximizing reward signals through interactions with environment. This repository provides a ...

A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.

The successful performance of learners in any field of study, including a second/foreign language, is deemed as a pivotal concern in the educational system. Furthermore, the various learner variables, ...