D. Raghuram Bharadwaj: Reinforcement Learning Algorithms for Off-Policy, Multi-Agent Learning and their Applications to Smart Grids, graduated, 2022
Sindhu P.R.: Algorithms for Challenges to Practical Reinforcement Learning, graduated, 2021
Chandramouli K., Algorithms for Stochastic Optimization, Statistical Estimation and Markov Decision
Processes, graduated 2020
Indu John: Decision Making under Uncertainty:
Reinforcement Learning Algorithms and Aaplications in Cloud Computing, Crowdsourcing and Predictive Analytics,
graduated 2020
Vinayaka G. Yaji: Stochastic Approximation with Set-Valued Maps and Markov Noise: Theoretical Foundations and
Applications, graduated 2018
Prasenjit Karmakar: Stochastic Approximation with Markov Noise: Analysis and Applications in Reinforcement Learning, graduated 2018
Arunselvan Ramaswamy: Stochastic Approximation Algorithms with Set-Valued Dynamics: Theory and Applications, graduated 2017
Ajin George Joseph: Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings, graduated 2017
Ranganath B.N.: Scalable Sparse Bayesian Nonparametric and Matrix Tri-factorization Models for Text Mining Applications, graduated 2017
K.J. Prabu Chandran: Feature Adaptation Algorithms for Reinforcement Learning
with Applications to Wireless Sensor Networks and Road
Traffic Control, graduated 2016
Chandrashekar Lakshmi Narayanan: Approximate Dynamic Programming and Reinforcement
Learning - Algorithms, Analysis and An Application, graduated 2016
Lakshmanan K : Online Learning and Simulation based Algorithms for Stochastic Optimization, graduated 2013.
Prashanth L.A : Resource Allocation under Uncertainty: Studies in Vehicular Traffic Control,
Service Systems, Sensor Networks and Mechanism Design, graduated 2013.
H.L. Prasad : Algorithms for Stochastic Games and Service Systems, graduated 2013.
Vivek Kumar Mishra : Simulation Based Methods for Optimization, graduated 2012.
Mohammed Shahid Abdulla : Simulation Based Algorithms for Markov Decision Processes and Stochastic Optimization, graduated 2008.
Ambedkar Dukkipati (joint guidance with Prof. M. Narasimha Murty) : On Generalized Measures of Information with Maximum and Minimum Entropy Prescriptions, graduated 2007.
Viswanath Pulabaigari (joint guidance with Prof. M. Narasimha Murty) : Pattern Synthesis Techniques and Compact Data Representation Schemes for Efficient Nearest Neighbor Classification, graduated 2005.