Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Xingyou Song,Yuxiang Yang,Krzysztof Choromanski,Ken Caluwaerts,Wenbo Gao,Chelsea Finn,Jie Tan,Xingyou Song,Yuxiang Yang,Krzysztof Choromanski,Ken Caluwaerts,Wenbo Gao,Chelsea Finn,Jie Tan
Learning adaptable policies is crucial for robots to operate autonomously in our complex and quickly changing world. In this work, we present a new meta-learning method that allows robots to quickly adapt to changes in dynamics. In contrast to gradient-based meta-learning algorithms that rely on second-order gradient estimation, we introduce a more noise-tolerant Batch Hill-Climbing adaptation ope...
