Categories: AI/ML News

A reinforcement learning-based four-legged robotic goalkeeper

Researchers at the Hybrid Robotics Group at UC Berkeley, Simon Fraser University and Georgia Institute of Technology have recently created a reinforcement learning model that allows a quadrupedal robot to efficiently play soccer in the role of goalkeeper. The model introduced in a paper pre-published on arXiv, improves the robot’s skills over time, through a trial-and-error process.

What is reinforcement learning? How AI trains itself

September 7, 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