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Model-Based Quality-Diversity Search for Efficient Robot Learning
One approach that was recently used to autonomously generate a repertoire of diverse skills is a novelty based Quality-Diversity~(QD) algorithm.
Experience Reuse with Probabilistic Movement Primitives
Accordingly, for learning a new task, time could be saved by restricting the parameter search space by initializing it with the solution of a similar task.
Learning walk and trot from the same objective using different types of exploration
In quadruped gait learning, policy search methods that scale high dimensional continuous action spaces are commonly used.
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