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.
Venkate- sha Prasad, and Chris Verhoeven
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.