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Results tagged with reinforcement-learning
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user 211768
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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Interpreting gradient descent as a constrained optimization problem- Reinforcement learning
I' m studying the lectures of Sergey Levine in reinforcement learning, specifically the TRPO algorithm, during his explanation we claims that gradient descent is the same as doing this.
He does no …
- 37
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Two different value functions formulations, how can I reconcile them?
I've been studying Reinforcement learning for the past months, and using different sources, I've been seeing different formulations for the same thing. Specifically for value iteration:
My quest …
- 136