Cortical Labs connected roughly 800,000 lab-grown human neurons to a high-density electrode array and let them interact with ...

Abstract: Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-making by learning through interaction with their environment. Central to this process are reward ...

A peer-reviewed article in Neurobiology of Learning and Memory is challenging a foundational assumption about how animals and humans form associations between cues and rewards, Rather than relying ...

Abstract: Recent research in quantum computing has gained significant momentum, promising transformative advances across various fields, including artificial intelligence (AI). This paper focuses on ...

This repository contains a detailed mindmap covering the fundamental concepts and advanced topics in Reinforcement Learning (RL). This mindmap was created as part of my personal learning journey to ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...

To run this project, ensure Python 3.8 or later is installed. Follow the steps below to set up the environment: There was an error while loading. Please reload this page.

The examples are nothing if not relatable: preparing breakfast, or playing a game of chess or tic-tac-toe. Yet the idea of learning from the environment and taking steps that progress toward a goal ...