25 citations · 177 across the 40 of their papers we have counts for
5 papers · 1 filter
On Slowly-varying Non-stationary Bandits
Ramakrishnan Krishnamurthy, Aditya Gopalan
We consider minimisation of dynamic regret in non-stationary bandits with a slowly varying property. Namely, we assume that arms' rewards are stochastic and independent over time,…
Data Flow Dissemination in a Network
Aditya Gopalan, Alexander Stolyar
We consider the following network model motivated, in particular, by blockchains and peer-to-peer live streaming. Data packet flows arrive at the network nodes and need to be disse…
Bandit Quickest Changepoint Detection
Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan
Many industrial and security applications employ a suite of sensors for detecting abrupt changes in temporal behavior patterns. These abrupt changes typically manifest locally, ren…
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling
Mohammani Zaki, Avi Mohan, Aditya Gopalan +1
We consider the problem of scheduling in constrained queueing networks with a view to minimizing packet delay. Modern communication systems are becoming increasingly complex, and a…
Improper Reinforcement Learning with Gradient-based Policy Optimization
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan +1
We consider an improper reinforcement learning setting where a learner is given base controllers for an unknown Markov decision process, and wishes to combine them optimally to…