82 citations · 419 across the 63 of their papers we have counts for
6 papers · 1 filter
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
Jiaming Wang, Jiqian Dong, Sikai Chen +2
The exponential growth of electric vehicles (EVs) presents novel challenges in preserving battery health and in addressing the persistent problem of vehicle range anxiety. To addre…
The Minimizer of the Sum of Two Strongly Convex Functions
Kananart Kuwaranancharoen, Shreyas Sundaram
The optimization problem concerning the determination of the minimizer for the sum of convex functions holds significant importance in the realm of distributed and decentralized op…
On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms
Kananart Kuwaranancharoen, Shreyas Sundaram
The problem of designing distributed optimization algorithms that are resilient to Byzantine adversaries has received significant attention. For the Byzantine-resilient distributed…
Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints
Ahmad Bilal Asghar, Shreyas Sundaram, Stephen L. Smith
In this paper we study multi-robot path planning for persistent monitoring tasks. We consider the case where robots have a limited battery capacity with a discharge time . We re…
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
Jiajun Shen, Kananart Kuwaranancharoen, Raid Ayoub +2
Model-based Reinforcement Learning (RL) integrates learning and planning and has received increasing attention in recent years. However, learning the model can incur a significant…
Learning Dynamical Systems by Leveraging Data from Similar Systems
Lei Xin, Lintao Ye, George Chiu +1
We consider the problem of learning the dynamics of a linear system when one has access to data generated by an auxiliary system that shares similar (but not identical) dynamics, i…