RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
Abstract: The predefined-time fuzzy adaptive output feedback decentralized fault-tolerant control (FTC) problem is considered for fractional-order nonlinear large-scale systems with intermittent ...
Abstract: The passivity and passivity-based synchronization for a type of coupled fractional-order reaction-diffusion neural networks (CFRNNs) with multiadaptive couplings are discussed in this paper.
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