Evolution Strategies

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

OpenAI published research showing that evolution strategies (ES), a decades-old optimization technique, can match standard reinforcement learning performance on benchmarks like Atari and MuJoCo. The approach offers practical advantages over RL including easier parallelization and fewer hyperparameter sensitivities. This positions ES as a viable alternative training paradigm for policy optimization tasks.