Value Functions
Machine Learning · Further Education · Machine Learning Applications
This unit introduces the concept of value functions, which are essential for understanding reinforcement learning. Students will learn how to calculate value functions and use them to find optimal policies for decision-making.
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Das gehört dazu
- Definition and concept of value functions
- Role of value functions in reinforcement learning
- Methods for calculating value functions (e.g.
- value iteration
- policy iteration
- Q-learning)
- Bellman equation and its significance
- Using value functions to find optimal policies
- Applications of value functions in real-world problems
Stichworte
- Value Functions
- Reinforcement Learning
- Expected Reward
- State-Action Pairs
- Optimal Policies
- Bellman Equation
- Value Iteration
- Policy Iteration
- Q-Learning