Reinforcement learning based adaptive metaheuristics

1 code implementation • 24 Jun 2022 • Michele Tessari, Giovanni Iacca

We demonstrate the applicability of this framework on two algorithms, namely Covariance Matrix Adaptation Evolution Strategies (CMA-ES) and Differential Evolution (DE), for which we learn, respectively, adaptation policies for the step-size (for CMA-ES), and the scale factor and crossover rate (for DE).

reinforcement-learning Reinforcement Learning (RL)