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Results tagged with reinforcement-learning
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user 353549
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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How to compute the probability of trajectories term in Stochastic Gradient Meta Reinforcemen...
The probability of the trajectory should be $q(\tau, \theta) = Pi_{i=0}^H \pi(s_i, a_i | \theta)$. That’s at least how we calculate the importance sampling correction factor in off-policy learning.
I’ …
