Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes
Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes
Studies have shown evolution strategies (ES) to be a promising approach for reinforcement learning (RL) with deep neural networks. However, the issue of high sample complexity persists in applications of ES to deep RL over long horizons. This article is the first to address the shortcoming of today’s methods via …