Researchers at the University of Edinburgh have developed a hierarchical framework based on deep reinforcement learning (RL) that can acquire a variety of strategies for humanoid balance control. Their framework, outlined in a paper pre-published on arXiv and presented at the 2017 International Conference on Humanoid Robotics, could perform far more human-like balancing behaviors than conventional controllers.

Source: Techxplore

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