Dynamic Regret in Online Convex Optimization with Indicator Switching Costs
Dynamic regret with fixed switching penalties, via a meta-learning framework that is minimax-optimal for piecewise-constant comparators.
Partially Lazy Gradient Descent for Smoothed Online Learning
A partially lazy gradient descent algorithm for smoothed online learning with switching-cost / regret trade-offs.
DRONE-RL: Dynamic Reinforcement Learning for Online Navigation of UAVs in Evolving Environments
Dynamic reinforcement learning for online UAV navigation in evolving environments.
noor-khial
Optimistic Learning with Applications to Caching Networks
Ph.D. thesis on optimistic online learning with applications to caching networks.
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
Dynamic-regret analysis of FTRL with optimistic predictions and a history-pruning technique that improves bounds.
Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services
Online-learning framework for network slicing supporting AI services.
menna-helmy
Optimistic Learning for Communication Networks
Monograph on optimistic online learning for communication networks (caching, routing, resource management).
george-iosifidis
An Online Learning Framework for UAV Search Mission in Adversarial Environments
Online learning for UAV search missions in adversarial, non-stationary environments.
noor-khial
An Online Learning Framework for UAV Target Search Missions in Non-stationary Environments
Online learning for UAV target search missions in non-stationary environments.
noor-khial
Adaptive Online Non-stochastic Control
Adaptive-regret online non-stochastic control algorithms with strong guarantees in changing environments.