Categories: AI/ML News

Exploring reinforcement learning to control nuclear fusion reactions

A student in Carnegie Mellon University’s School of Computer Science (SCS) has used reinforcement learning to help control nuclear fusion reactions, a significant step toward harnessing the immense power produced in nuclear fusion as a source of clean, abundant energy.

The Real Fusion Energy Breakthrough Is Still Decades Away

US nuclear scientists have achieved the long-sought goal of a fusion ignition—but don't expect this clean technology to power the grid yet.

December 14, 2022

In "AI/ML News"

5 Free Courses on Reinforcement Learning

Reinforcement learning (RL) is a subfield of machine learning where an agent learns to make decisions by interacting with its environment rather than relying solely on pre-existing data. It is an area that blends trial-and-error learning with feedback from actions to improve future performance. In this blog, we will explore…

June 18, 2024

In "AI/ML Research"

Principles of Reinforcement Learning: An Introduction with Python

Reinforcement Learning (RL) is a type of machine learning. It trains an agent to make decisions by interacting with an environment. This article covers the basic concepts of RL. These include states, actions, rewards, policies, and the Markov Decision Process (MDP). By the end, you will understand how RL works.…

July 11, 2024

In "AI/ML Research"

AI Generated Robotic Content