NSR-ES, a quality-diversity evolution strategy, trains Decision Transformers on Humanoid comparably to OpenAI-ES, while NS-ES alone learns too slowly and pretraining does not accelerate novelty-based training.
Efficacy of modern neuro-evolutionary strategies for continuous control optimization.Fron- tiers in Robotics and AI, 7, 2020
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Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning
NSR-ES, a quality-diversity evolution strategy, trains Decision Transformers on Humanoid comparably to OpenAI-ES, while NS-ES alone learns too slowly and pretraining does not accelerate novelty-based training.