most citedMeta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments

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cs.RO2021★ 1 cited

Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments

Timothée Anne, Jack Wilkinson, Zhibin Li

This work developed a meta-learning approach that adapts the control policy on the fly to different changing conditions for robust locomotion. The proposed method constantly update…

cs.RO2020

Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors

Rituraj Kaushik, Timothée Anne, Jean-Baptiste Mouret

Meta-learning algorithms can accelerate the model-based reinforcement learning (MBRL) algorithms by finding an initial set of parameters for the dynamical model such that the model…