Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition). The purpose of this project is to help understanding RL algorithms and ...

This repository contains simple examples of reinforcement learning algorithms implemented in Python using TensorFlow and Keras. One of the core examples is a basic implementation of Deep Q-Networks ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

Negative reinforcement is one of the core concepts in behavioral psychology, yet it’s often misunderstood. In simple terms, it involves strengthening a behavior by removing an unpleasant or unwanted ...

ABSTRACT: Depression treatment often involves a complex and lengthy trial-and-error process, where clinicians sequentially prescribe medications to identify the most ...