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08/18/2023
Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks
We propose a learning algorithm for local routing policies that needs on...
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08/07/2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Bilevel optimization has become a powerful tool in a wide variety of mac...
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08/01/2023
Doubly Robust Instance-Reweighted Adversarial Training
Assigning importance weights to adversarial data has achieved great succ...
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06/20/2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
The ensemble method is a promising way to mitigate the overestimation is...
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06/20/2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Warm-Start reinforcement learning (RL), aided by a prior policy obtained...
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06/08/2023
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes
Transfer learning is a useful technique for achieving improved performan...
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02/12/2023
Theory on Forgetting and Generalization of Continual Learning
Continual learning (CL), which aims to learn a sequence of tasks, has at...
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02/09/2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
This work aims to tackle a major challenge in offline Inverse Reinforcem...
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02/02/2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Online meta-learning has recently emerged as a marriage between batch me...
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02/07/2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
Existing offline reinforcement learning (RL) methods face a few major ch...
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02/01/2022
Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra
Low-rank approximation of images via singular value decomposition is wel...
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12/27/2021
A novel locking-free virtual element method for linear elasticity problems
This paper devises a novel lowest-order conforming virtual element metho...
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01/22/2021
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
Learning generative models is challenging for a network edge node with l...
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01/17/2021
Generalized Image Reconstruction over T-Algebra
Principal Component Analysis (PCA) is well known for its capability of d...
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12/22/2020
Distributed Q-Learning with State Tracking for Multi-agent Networked Control
This paper studies distributed Q-learning for Linear Quadratic Regulator...
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12/16/2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
In order to meet the requirements for performance, safety, and latency i...
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12/15/2020
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication
Online meta-learning is emerging as an enabling technique for achieving ...
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10/27/2020
System Identification via Meta-Learning in Linear Time-Varying Environments
System identification is a fundamental problem in reinforcement learning...
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07/08/2020
Design, Control, and Applications of a Soft Robotic Arm
This paper presents the design, control, and applications of a multi-seg...
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04/11/2020
Underwater Image Enhancement Based on Structure-Texture Reconstruction
Aiming at the problems of color distortion, blur and excessive noise of ...
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01/09/2020