2020
Self-Guided Evolution Strategies with Historical Estimated Gradients
IJCAI 2020poster
Evolution Strategies (ES) are a class of black-box optimization algorithms and have been widely applied to solve problems, e.g., in reinforcement learning (RL), where the true gradient is unavailable. ES estimate the gradient of an objective function with respect to the parameters by randomly sampli…