Game-playing agents, like those used in board games or video games, often use ________ learning to optimize their strategies.
- Reinforcement
- Semi-supervised
- Supervised
- Unsupervised
Game-playing agents frequently employ reinforcement learning. This approach involves learning by trial and error, where agents receive feedback (rewards) based on their actions, helping them optimize their strategies over time.
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