Reinforcement Learning
Markov Decision Process
A mathematical framework for modeling sequential decision-making with states, actions, rewards, and transition probabilities.
Related Concepts
- Reinforcement Learning: Explore how Reinforcement Learning relates to Markov Decision Process
- State: Explore how State relates to Markov Decision Process
- Action: Explore how Action relates to Markov Decision Process
- Transition: Explore how Transition relates to Markov Decision Process
Why It Matters
Understanding Markov Decision Process 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.
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reinforcement-learning reinforcement-learning state action