In which learning approach does the model learn to make decisions by receiving rewards or penalties for its actions?
- Reinforcement Learning
- Semi-Supervised Learning
- Supervised Learning
- Unsupervised Learning
Reinforcement Learning involves learning through trial and error. A model learns to make decisions by receiving rewards for good actions and penalties for bad ones. It's commonly used in areas like game-playing and robotics.
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