Markov Decision Process
Markov Decision Process
Understanding MDP
A Markov Decision Process (MDP) is a mathematical framework used for modeling decision-making in environments where outcomes are partly random and partly under the control of a decision-maker.
š Key Components:
š Key Components:
- States: Set of possible configurations of the environment.
- Actions: Choices available to the agent.
- Transition Probabilities: Probability of moving to a new state.
- Rewards: Feedback provided after transitions.
- Policy: Strategy for selecting actions in states.
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