Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
differentiable, then we can use the Reparameterization trick. When f is non-differentiable, we are stuck with REINFORCE. The authors propose a gradient estimator called LAX for the continuous b, non-differentiable f case. This is the same trick we applied for the REBAR algorithm where we added then