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Found 9 papers, 0 papers with code
f-Divergence Variational Inference
This paper introduces the $f$-divergence variational inference ($f$-VI) that generalizes variational inference to all $f$-divergences.
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems
The proposed approach achieves both the compositionality and optimality of control actions simultaneously within the cooperative MAS framework in both discrete- and continuous-time in a sample-efficient manner, which reduces the burden of re-computation of the optimal control solutions for the new task on the MASs.
Cooperative Path Integral Control for Stochastic Multi-Agent Systems
Local control actions that rely only on agents' local observations are designed to optimize the joint cost functions of subsystems.
Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems
Distributed algorithms for both discrete-time and continuous-time linearly solvable optimal control (LSOC) problems of networked multi-agent systems (MASs) are investigated in this paper.
Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems
The control action composition is achieved by taking a weighted mixture of the existing controllers according to the contribution of each component task.
Transformers for prompt-level EMA non-response prediction
The transformer model achieves a non-response prediction AUC of 0. 77 and is significantly better than classical ML and LSTM-based deep learning models.
Simplified Analysis on Filtering Sensitivity Trade-offs in Continuous- and Discrete-Time Systems
A simplified analysis is performed on the Bode-type filtering sensitivity trade-off integrals, which capture the sensitivity characteristics of the estimate and estimation error with respect to the process input and estimated signal in continuous- and discrete-time linear time-invariant filtering systems.
Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States
This paper presents a novel approach for achieving safe stochastic optimal control in networked multi-agent systems (MASs).
An Information-Theoretic Analysis of Discrete-Time Control and Filtering Limitations by the I-MMSE Relationships
Fundamental limitations or performance trade-offs/limits are important properties and constraints of control and filtering systems.
