Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
of b=0, 1 and using it at intermediate value sends the wrong training signal. In these situations, it might be better to optimize the surrogate c_ϕ to directly lower the variance rather than follow f. The authors show that RELAX is able to learn faster and with more stability than A2C on various