Reinforcement Learning
Agent
In RL, the learner or decision-maker that takes actions in an environment to maximize cumulative reward.
Related Concepts
- Environment: Explore how Environment relates to Agent
- Policy: Explore how Policy relates to Agent
- Reinforcement Learning: Explore how Reinforcement Learning relates to Agent
- Action: Explore how Action relates to Agent
Why It Matters
Understanding Agent is crucial for anyone working with reinforcement learning. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
reinforcement-learning environment policy reinforcement-learning
Related Terms
Environment
In RL, the world the agent interacts with, providing states, accepting actions, and returning rewards.
Policy
A strategy or mapping from states to actions that defines the agent's behavior in reinforcement learning.
Reinforcement Learning
Learning through interaction with an environment, receiving rewards or penalties to learn optimal behavior policies.