Agent [Meaning] - MasterTerms.com

It operates independently, making decisions based on predefined rules or learned behavior, and interacts with its environment to complete tasks like monitoring, retrieving data, or automating repetitive processes. Agents can be found in various systems such as network management, AI, and online customer service, often working without direct human intervention.

Agent Example

For example, a chatbot agent on a website can respond to customer inquiries by understanding the question and providing relevant answers automatically.

Glossary: Advantage Actor Critic [A2C]
Advantage Actor Critic (A2C) is a reinforcement learning algorithm that combines both policy-based and value-based methods to optimize decision-making.
Glossary: Asynchronous Advantage Actor Critic [A3C]
Asynchronous Advantage Actor Critic (A3C) is a reinforcement learning algorithm that uses multiple agents to improve learning efficiency and performance.
Glossary: Deep Q-Learning
Deep Q-Learning is a machine learning algorithm that combines deep learning and Q-Learning to solve complex decision-making problems in environments.
Glossary: Double DQN
A Double DQN is an algorithm used in reinforcement learning to reduce overestimation bias in action value predictions.
Glossary: Dueling DQN
A Dueling DQN is an advanced variant of the Deep Q-Network (DQN) algorithm used in reinforcement learning.