Unlocking the Power of Reinforcement Learning: Discovering Policies
In the realm of artificial intelligence and machine learning, Reinforcement Learning (RL) has emerged as a powerful paradigm for training agents to make decisions in complex, dynamic environments. At the heart of RL lies the concept of policies, which are the algorithms that dictate how the agent interacts with its environment.
What is a Policy?
A policy is a mapping from states to actions, essentially defining how the agent takes actions in response to the current state of the environment. Think of a policy as a "recipe book" for the agent, outlining the best course of action to take in any given situation.
Types of Policies
There are two primary types of policies: deterministic and stochastic.
- Deterministic policies specify a single action for each state, ensuring that the agent takes the same action in the same state every time.
- Stochastic policies, on the other hand, ass...
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