Quantum Reinforcement Learning (QRL) Archives

What are the key differences between reinforcement learning and other types of machine learning, such as supervised and unsupervised learning?

Tuesday, 11 June 2024 by EITCA Academy

Reinforcement learning (RL) is a subfield of machine learning that focuses on how agents should take actions in an environment to maximize cumulative reward. This approach is fundamentally different from supervised and unsupervised learning, which are the other primary paradigms in machine learning. To understand the key differences between these types of learning, it is

Published in Artificial Intelligence, EITC/AI/TFQML TensorFlow Quantum Machine Learning, Quantum reinforcement learning, Replicating reinforcement learning with quantum variational circuits with TFQ, Examination review

Tagged under: Artificial Intelligence, Machine Learning, Optimization, Policy Gradient, Quantum Computing, Quantum Reinforcement Learning (QRL), Quantum Variational Circuits, Reinforcement Learning, Supervised Learning, TensorFlow Quantum (TFQ), Unsupervised Learning

EITCA Academy

SIGN IN YOUR ACCOUNT TO HAVE ACCESS TO DIFFERENT FEATURES

FORGOT YOUR DETAILS?

CREATE ACCOUNT

What are the key differences between reinforcement learning and other types of machine learning, such as supervised and unsupervised learning?