Learning Fast Adaptation with Meta Strategy Optimization
international conference on robotics and automation, pp. 1-1, 2020.
The ability to walk in new scenarios is a key milestone on the path toward real-world applications of legged robots. In this work, we introduce Meta Strategy Optimization, a meta-learning algorithm for training policies with latent variable inputs that can quickly adapt to new scenarios with a handful of trials in the target environment...More
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