Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
like REBAR but with c_ϕ instead of f(σ_λ()): We’ve dropped the expectations over uniform random variables u and v for clarity but we still have to take these samples. We do the same thing to compute the RELAX gradient as the REBAR gradient. The only difference here is the surrogate function is