Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
reward we receive. Our goal is to find the gradients of the reward with respect to the output of the model θ (once we’ve found this, we can propagate the gradients through the weights of the model). Gradient of the unrelaxed model. This is the value we want to compute and REBAR will morph this