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09/07/2023
Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments
Understanding the interactions of agents trained with deep reinforcement...
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08/31/2023
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization
Federated learning (FL) involves several devices that collaboratively tr...
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07/26/2023
Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards
We study the piecewise stationary combinatorial semi-bandit problem with...
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07/18/2023
Online Learning with Costly Features in Non-stationary Environments
Maximizing long-term rewards is the primary goal in sequential decision-...
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07/18/2023
Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards
Sequential decision-making under uncertainty is often associated with lo...
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06/29/2023
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning
We propose a novel value approximation method, namely Eigensubspace Regu...
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06/09/2023
Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit
We study a structured multi-agent multi-armed bandit (MAMAB) problem in ...
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05/30/2023
Cooperative Thresholded Lasso for Sparse Linear Bandit
We present a novel approach to address the multi-agent sparse contextual...
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02/10/2023
Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and Sensing
We study a multi-objective multi-armed bandit problem in a dynamic envir...
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02/07/2023
Robustness Implies Fairness in Casual Algorithmic Recourse
Algorithmic recourse aims to disclose the inner workings of the black-bo...
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12/25/2022
Linear Combinatorial Semi-Bandit with Causally Related Rewards
In a sequential decision-making problem, having a structural dependency ...
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11/14/2022
Hypothesis Transfer in Bandits by Weighted Models
We consider the problem of contextual multi-armed bandits in the setting...
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05/19/2022
A Learning-Based Approach to Approximate Coded Computation
Lagrange coded computation (LCC) is essential to solving problems about ...
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03/28/2022
Distributed Task Management in the Heterogeneous Fog: A Socially Concave Bandit Game
Fog computing has emerged as a potential solution to the explosive compu...
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03/09/2022
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization
Recent advances in domain adaptation establish that requiring a low risk...
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02/07/2022
Bayesian Linear Bandits for Large-Scale Recommender Systems
Potentially, taking advantage of available side information boosts the p...
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02/22/2021
Mobility-Aware Routing and Caching: A Federated Learning Assisted Approach
We develop mobility-aware routing and caching strategies to solve the ne...
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01/19/2021
Personalized Education in the AI Era: What to Expect Next?
The objective of personalized learning is to design an effective knowled...
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09/01/2020
Distributed Cooperation Under Uncertainty in Drone-Based Wireless Networks: A Bayesian Coalitional Game
We study the resource sharing problem in a drone-based wireless network....
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08/27/2020
Computational Models of Human Decision-Making with Application to the Internet of Everything
The concept of the Internet of Things (IoT) first appeared a few decades...
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08/14/2020
Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions
With the rapid advancement in vehicular communications and intelligent t...
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06/26/2020
Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning
The emergence of new wireless technologies together with the requirement...
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02/04/2020
EdgeDASH: Exploiting Network-Assisted Adaptive Video Streaming for Edge Caching
While edge video caching has great potential to decrease the core networ...
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12/12/2019
Towards Auction-Based Function Placement in Serverless Fog Platforms
The Function-as-a-Service (FaaS) paradigm has a lot of potential as a co...
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04/12/2019
Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty
In the emerging edge-computing paradigm, mobile devices offload the comp...
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12/09/2018
Distributed Task Management in Cyber-Physical Systems: How to Cooperate under Uncertainty?
We consider the problem of task allocation in a network of cyber-physica...
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11/20/2017
Mobile Edge Computation Offloading Using Game Theory and Reinforcement Learning
Due to the ever-increasing popularity of resource-hungry and delay-const...
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10/16/2017
