Mastering MDPs: Understanding Optimal Values V* and Q* Values

n this video, we dive deep into Markov Decision Processes (MDPs) and explore the key concepts of optimal values—V* (optimal state value) and Q* (optimal action-value). If you're learning about reinforcement learning, decision-making under uncertainty, or AI planning, understanding these values is crucial!

We break down:
✅ What MDPs are and how they model decision-making problems
✅ The meaning of V* and how it helps in evaluating states
✅ The role of Q* in choosing optimal actions
✅ How these values relate to the Bellman optimality equations
✅ Applications in AI, robotics, finance, and gaming

By the end of this video, you'll have a clear grasp of how V* and Q* guide optimal policy selection in MDPs, leading to smarter decision-making in complex environments.

💬 Drop your questions in the comments—we'd love to discuss MDPs with you!

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