Minimum cost flows, MDPs, and ℓ1-regression in nearly linear time for dense instances

J Van Den Brand, YT Lee, YP Liu, T Saranurak… - Proceedings of the 53rd …, 2021 - dl.acm.org
In this paper we provide new randomized algorithms with improved runtimes for solving
linear programs with two-sided constraints. In the special case of the minimum cost flow …

Reinforcement learning with Gaussian processes for condition-based maintenance

S Peng - Computers & Industrial Engineering, 2021 - Elsevier
Condition-based maintenance strategies are effective in enhancing reliability and safety for
complex engineering systems that exhibit degradation phenomena with uncertainty. Such …

Constrained multiagent Markov decision processes: A taxonomy of problems and algorithms

F De Nijs, E Walraven, M De Weerdt, M Spaan - Journal of Artificial …, 2021 - jair.org
In domains such as electric vehicle charging, smart distribution grids and autonomous
warehouses, multiple agents share the same resources. When planning the use of these …

[HTML][HTML] Scheduling to minimize age of incorrect information with imperfect channel state information

Y Chen, A Ephremides - Entropy, 2021 - mdpi.com
In this paper, we study a slotted-time system where a base station needs to update multiple
users at the same time. Due to the limited resources, only part of the users can be updated in …

Age of changed information: Content-aware status updating in the internet of things

X Wang, W Lin, C Xu, X Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In Internet of Things (IoT), the freshness of status updates is crucial for mission-critical
applications. In this regard, it is suggested to quantify the freshness of updates by using Age …

Joint sensing and processing resource allocation in vehicular ad-hoc networks

R Chattopadhyay, CK Tham - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The performance of smart vehicle (SV) applications like autonomous driving and in-vehicle
augmented reality based traffic information system depends on the Field of View (FoV) and …

Efficient solutions for targeted control of multi-agent mdps

C Fiscko, S Kar, B Sinopoli - 2021 American control conference …, 2021 - ieeexplore.ieee.org
This work considers multi-agent systems where agents' decisions are influenced by a global
entity, named the superplayer. The superplayer's goal is to influence the agents to realize …

An optimal life cycle reprofiling strategy of train wheels based on Markov decision process of wheel degradation

Y Zeng, D Song, W Zhang, B Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Wheels are vital components on railway vehicles and may encounter various problems
during long-term operation, eg, wear and defects. The existing preventative reprofiling …

Dual formulation for chance constrained stochastic shortest path with application to autonomous vehicle behavior planning

R Alyassi, M Khonji - 2021 60th IEEE Conference on Decision …, 2021 - ieeexplore.ieee.org
Autonomous vehicles face the problem of optimizing the expected performance of
subsequent maneuvers while bounding the risk of collision with surrounding dynamic …

Deep Q-networks for aerial data collection in multi-UAV-assisted wireless sensor networks

Y Emami, B Wei, K Li, W Ni… - … and Mobile Computing …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) can collaborate to collect and relay data for ground
sensors in remote and hostile areas. In multi-UAV-assisted wireless sensor networks (MA …