Results for "cumulative probability"
A learning paradigm where an agent interacts with an environment and learns to choose actions to maximize cumulative reward.
Expected cumulative reward from a state or state-action pair.
Finding control policies minimizing cumulative cost.
Samples from the k highest-probability tokens to limit unlikely outputs.
A model is PAC-learnable if it can, with high probability, learn an approximately correct hypothesis from finite samples.
A measure of randomness or uncertainty in a probability distribution.
Measures divergence between true and predicted probability distributions.
Measures how one probability distribution diverges from another.
Graphical model expressing factorization of a probability distribution.
Probability of treatment assignment given covariates.
Probability of data given parameters.
Describes likelihoods of random variable outcomes.