Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
variable v: another uniform random variable As before, our model will output a set of probabilities θ parameterizing the discrete random variable b. The goal is to sample b using θ, act in the environment with b, receive rewards, and learn to output better values of θ. To derive the REBAR gradient