8 citations · 21 across the 5 of their papers we have counts for
6 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…
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…
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…
Towards Optimal and Efficient Best Arm Identification in Linear Bandits
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan
We give a new algorithm for best arm identification in linearly parameterised bandits in the fixed confidence setting. The algorithm generalises the well-known LUCB algorithm of Ka…
Low-rank Bandits with Latent Mixtures
Aditya Gopalan, Odalric-Ambrym Maillard, Mohammadi Zaki
We study the task of maximizing rewards from recommending items (actions) to users sequentially interacting with a recommender system. Users are modeled as latent mixtures of C man…
Quality assessment of voice converted speech using articulatory features
Avni Rajpal, Nirmesh J. Shah, Mohammadi Zaki +1
We propose a novel application based on acoustic-to-articulatory inversion towards quality assessment of voice converted speech. The ability of humans to speak effortlessly require…