A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
Scalable regret for learning to control network-coupled subsystems with unknown dynamics.
Structure-aware reinforcement learning for node-overload protection in mobile edge computing
(2021-06-14)ieeexplore.ieee.orgPDF[LATEST on arXiv preprint arXiv:2107.01025 (2021-06-29)]
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error
IEEE Transactions on Signal Processing
Team Optimal Control of Coupled Major-Minor Subsystems with Mean-Field Sharing
Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing.
Team-Optimal Solution of Finite Number of Mean-Field Coupled LQG Subsystems.
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions
Conditions for indexability of restless bandits and an algorithm to compute Whittle index
Optimal Local and Remote Controllers With Unreliable Uplink Channels: An Elementary Proof
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning
IEEE Transactions on Automatic Control
Cross-layer communication over fading channels with adaptive decision feedback
Publications collected and formatted using Paperoni