What are some examples of reward functions in AI?
Reward functions are crucial in reinforcement learning. Examples include sparse rewards, dense rewards, and shaped rewards.
Can you explain what sparse and dense rewards mean?
Sparse rewards provide feedback only at specific intervals, while dense rewards give feedback more frequently, guiding the agent continuously.
How do shaped rewards differ from the other types?
Shaped rewards modify the reward signal to encourage desired behaviors, often making learning faster and more efficient.
What are some real-world applications of these reward functions?
Real-world applications include robotics, game playing, and autonomous driving, where agents learn optimal behaviors through rewards.
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