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4 votes
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What are the pros and cons of sparse and dense rewards in reinforcement learning?

What are the pros and cons of sparse and dense rewards in reinforcement learning? It is unusual to refer to this difference as "pros and cons" because that term is often used to make ...
Neil Slater's user avatar
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3 votes
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Is a reward given at every step or only given when the RL agent fails or succeeds?

In reinforcement learning (RL), an immediate reward value must be returned after each action, along with the next state. This value can be zero though, which will have no direct impact on optimality ...
Neil Slater's user avatar
  • 32.5k

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