Bellman Equations
Machine Learning · Further Education · Reinforcement Learning
Bellman equations provide a mathematical framework for calculating the value of states and actions in reinforcement learning problems. By understanding and applying these equations, students will gain a solid foundation for developing optimal decision-making strategies in complex environments.
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Das gehört dazu
- Definition and derivation of Bellman equations
- Types of Bellman equations (e.g.
- state-value
- action-value)
- Applications of Bellman equations in reinforcement learning
- Limitations and assumptions of Bellman equations
- Extensions and variations of Bellman equations
Stichworte
- Bellman Equation
- Value Function
- State Value
- Action Value
- Optimal Policy
- Reinforcement Learning