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Found 14 papers, 0 papers with code
Asymptotic tracking control of dynamic reference over homomorphically encrypted data with finite modulus
Leveraging the property above, we design an algorithm on the actuator side such that it can restore the control input from the lower bits under a finite modulus.
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
Model-based offline reinforcement Learning (RL) is a promising approach that leverages existing data effectively in many real-world applications, especially those involving high-dimensional inputs like images and videos.
SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring
In many real-world visual Imitation Learning (IL) scenarios, there is a misalignment between the agent's and the expert's perspectives, which might lead to the failure of imitation.
DIDA: Denoised Imitation Learning based on Domain Adaptation
Imitating skills from low-quality datasets, such as sub-optimal demonstrations and observations with distractors, is common in real-world applications.
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
Model-based methods have significantly contributed to distinguishing task-irrelevant distractors for visual control.
The bottleneck and ceiling effects in quantized tracking control of heterogeneous multi-agent systems under DoS attacks
Dynamic quantized mechanisms are designed for inter-follower communication and leader-follower communication.
Quantized distributed Nash equilibrium seeking under DoS attacks
To solve the quantizer saturation problem caused by DoS attacks, the quantization mechanism is equipped to have zooming-in and holding capabilities, in which the holding capability is consistent with the results in quantized consensus under DoS.
Dynamic quantized consensus under DoS attacks: Towards a tight zooming-out factor
This paper deals with dynamic quantized consensus of dynamical agents in a general form under packet losses induced by Denial-of-Service (DoS) attacks.
Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach
This paper is concerned with the quantized consensus problem for uncertain nonlinear multi-agent systems under data-rate constraints and Denial-of-Service (DoS) attacks.
Krasovskii and Shifted Passivity Based Output Consensus
Motivated by current sharing in power networks, we consider a class of output consensus (also called agreement) problems for nonlinear systems, where the consensus value is determined by external disturbances, e. g., power demand.
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
We propose a novel method, READ (Reconstruction Error Aggregated Detector), to unify inconsistencies from classifier and autoencoder.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Quantized State Feedback Stabilization of Nonlinear Systems under Denial-of-Service
This paper studies the resilient control of networked systems in the presence of cyber attacks.
The Flare and Warp of the Young Stellar Disk traced with LAMOST DR5 OB-type stars
We present analysis of the spatial density structure for the outer disk from 8$-$14 \, kpc with the LAMOST DR5 13534 OB-type stars and observe similar flaring on north and south sides of the disk implying that the flaring structure is symmetrical about the Galactic plane, for which the scale height at different Galactocentric distance is from 0. 14 to 0. 5 \, kpc.
Astrophysics of Galaxies
Dynamic Quantized Consensus of General Linear Multi-agent Systems under Denial-of-Service Attacks
In this paper, we study multi-agent consensus problems under Denial-of-Service (DoS) attacks with data rate constraints.
