Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods

Karel Lenc, Erich Elsen, Tom Schaul +1

In this work we show that Evolution Strategies (ES) are a viable method for learning non-differentiable parameters of large supervised models. ES are black-box optimization algorit…