Review:
Reinforcement Learning
overall review score: 4.5
⭐⭐⭐⭐⭐
score is between 0 and 5
Reinforcement learning is a type of machine learning that involves training algorithms to learn how to make decisions by receiving feedback from their environment.
Key Features
- Trial-and-error learning
- Rewards and punishments
- Agent-environment interaction
Pros
- Allows for autonomous decision-making
- Can handle complex and dynamic environments
- Used in various real-world applications like robotics and game playing
Cons
- Requires significant computational resources
- Can be slow and inefficient with large state spaces