8 citations · 20 across the 9 of their papers we have counts for
9 papers
Actor-Critic based Improper Reinforcement Learning
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…
A Low-Delay MAC for IoT Applications: Decentralized Optimal Scheduling of Queues without Explicit State Information Sharing
Avinash Mohan, Arpan Chattopadhyay, Shivam Vinayak Vatsa +1
We consider a system of several collocated nodes sharing a time slotted wireless channel, and seek a MAC (medium access control) that (i) provides low mean delay, (ii) has distribu…
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…
Implementing QZMAC (a Decentralized Delay Optimal MAC) over 6TiSCH under the Contiki OS in an IEEE 802.15.4 Network
Shivam Vinayak Vatsa, Avi Mohan, Anurag Kumar
Motivated by the emerging delay-sensitive applications of the Internet of Things (IoT), there has been a resurgence of interest in developing medium access control (MAC) protocols…
Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners
Mohammadi Zaki, Avi Mohan, Aditya Gopalan
We study the problem of best arm identification in linearly parameterised multi-armed bandits. Given a set of feature vectors a confidence paramet…