What is reinforcement learning? | IBM
In reinforcement learning, an agent learns to make decisions by interacting with an environment. It is used in robotics and other decision-making settings.| www.ibm.com
In reinforcement learning, an agent learns to make decisions by interacting with an environment. It is used in robotics and other decision-making settings.| www.ibm.com
An artificial intelligence (AI) agent refers to a system or program that is capable of autonomously performing tasks on behalf of a user or another system.| www.ibm.com
This privacy statement describes how IBM collects, uses, and shares personal information about consumers and other individuals within our clients, business partners, supplier and other organizations with which IBM has or contemplates a business relationship.| www.ibm.com
Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data.| www.ibm.com
Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy.| www.ibm.com
Machine learning (ML) is a branch of AI and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn.| www.ibm.com
The future of AI is flexible, reusable AI models that can be applied to just about any domain or industry task.| IBM Research
A next generation enterprise studio for AI builders to train, validate, tune and deploy AI models| www.ibm.com
