Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
four directions! To deal with an environment that requires us to choose a single discrete action to act in the world, we make another approximation. So far we’ve only defined a way to build a k dimensional “soft” sample with all nonzero values. In order to act in the world, we construct a hard