Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
through b. One limitation of REBAR is that it assumes you can evaluate the environment function f(b) at values of b between 0 and 1. This is apparent in the terms f(σ_λ(ẑ)) and f(σ_λ(z)) which evaluates on the soft samples. This might not be possible in some settings like reinforcement learning.