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Results tagged with reinforcement-learning
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user 204111
A set of dynamic strategies by which an algorithm can learn the structure of an environment online by adaptively taking actions associated with different rewards so as to maximize the rewards earned.
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Why do we need the score function in reinforcement learning?
I have a hard time grasping the need for policy optimization and say the log kernel trick/score function. Instead of using the score function, why do you not simply optimize for the highest reward and …
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Policy space optimization? Reinforcement learning
What are the reasons that you have an easier time choosing a Policy optimization algorithm when the state space is high dimensional, are there also any other reasons in the task's attributes for picki …
- 33