A newly developed AI control system using neuron-inspired learning enables soft robotic arms to learn a broad set of motions ...
Abstract: Delayed Markov decision processes (DMDPs) fulfill the Markov property by augmenting the state space of agents with a finite time window of recently committed actions. In reliance on these ...
Abstract: In the context of linear time-invariant, model-based control, this paper exploits a straightforward method for estimating the uncertainty arising from the use of an approximate nominal model ...
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