Accelerating Reinforcement Learning with a
Directional-Gaussian-Smoothing Evolution Strategy
Accelerating Reinforcement Learning with a
Directional-Gaussian-Smoothing Evolution Strategy
Evolution strategy (ES) has been shown great promise in many challenging reinforcement learning (RL) tasks, rivaling other state-of-the-art deep RL methods. Yet, there are two limitations in the current ES practice that may hinder its otherwise further capabilities. First, most current methods rely on Monte Carlo type gradient estimators to …