Adaptive Asynchronous Control Using Meta-Learned Neural Ordinary Differential Equations

Model-based reinforcement learning and control have demonstrated great potential in various sequential decision making problem domains, including in robotics settings. However, real-world robotics systems often present challenges that limit the applicability of those methods. In particular, we note...

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