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20222024
most citedBeyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms

1 citations · 4 across the 7 of their papers we have counts for

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cs.RO2022

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity

Maxime Allard, Simón C. Smith, Konstantinos Chatzilygeroudis +2

In real-world environments, robots need to be resilient to damages and robust to unforeseen scenarios. Quality-Diversity (QD) algorithms have been successfully used to make robots…

cs.NE2022

Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors

Shikha Surana, Bryan Lim, Antoine Cully

Data-driven learning based methods have recently been particularly successful at learning robust locomotion controllers for a variety of unstructured terrains. Prior work has shown…