Reinforcement Learning
Understand the Problem
The question seems to be asking for information about reinforcement learning, which is a type of machine learning where agents learn to make decisions by taking actions in an environment to maximize cumulative reward.
Answer
A machine learning technique for decision making to maximize cumulative rewards.
Reinforcement Learning (RL) is a machine learning technique that trains software to make decisions that maximize cumulative rewards.
Answer for screen readers
Reinforcement Learning (RL) is a machine learning technique that trains software to make decisions that maximize cumulative rewards.
More Information
Reinforcement Learning mimics how humans and animals learn through trial and error to achieve their goals and is used extensively in areas ranging from robotics to game playing.
Tips
A common mistake is to assume that RL is the same as supervised learning. RL involves learning from the consequences of actions, not from a labeled dataset provided beforehand.
Sources
- What is Reinforcement Learning? - Amazon Web Services - aws.amazon.com
- What is reinforcement learning? - TechTarget - techtarget.com
- Reinforcement learning - GeeksforGeeks - geeksforgeeks.org
