Psychology Today

Educational Psychology Improves Use of AI for Learning

Students will use AI. The challenge is teaching them to use it in ways that strengthen learning. Educational psychology ...
The Robot Report

Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity

Humanoid says its KinetIQ Ascend approach can reach 99.9% manipulation reliability at human speed and beyond for industrial ...
GitHub

Dense reinforcement learning for safety validation of autonomous vehicles

This project contains the source code and data for the paper titled "Dense reinforcement learning for safety validation of autonomous vehicles". Feng, S., Sun, H ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Signaloid Announces Availability of Amazon AWS Machine Image (AMI) for Accelerating Compute Workloads Ranging from Finance to Reinforcement Learning

British computing technology company Signaloid today announced the release of the Signaloid Compute Engine Amazon Machine Image (AMI) via AWS Marketplace. The release enables organizations to deploy ...
Business Wire

Signaloid Announces Availability of Amazon AWS Machine Image (AMI) for Accelerating Compute Workloads Ranging from Finance to Reinforcement Learning

CAMBRIDGE, England--(BUSINESS WIRE)--British computing technology company Signaloid today announced the release of the Signaloid Compute Engine Amazon Machine Image (AMI) via AWS Marketplace. The ...
IEEE

A Gentle Introduction to Reinforcement Learning and its Application in Different Fields

Abstract: Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has become one of the most important and useful technology. It is a learning method where a software agent ...
IEEE

Deep Reinforcement Learning: A Brief Survey

Abstract: Deep reinforcement learning (DRL) is poised to revolutionize the field of artificial intelligence (AI) and represents a step toward building autonomous systems with a higher-level ...
GitHub

Reinforcement Learning with Model Predictive Control

MPC, a well-known control methodology that exploits a prediction model to predict the future behaviour of the environment and compute the optimal action and RL, a Machine Learning paradigm that showed ...
InfoQ

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
MIT Technology Review

Why we should thank pigeons for our AI breakthroughs

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human. In 1943, while the world’s ...
Frontiers

Hybrid brain-computer interface using error-related potential and reinforcement learning

Brain-computer interfaces (BCIs) offer alternative communication methods for individuals with motor disabilities, aiming to improve their quality of life through external device control. However, ...