Smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Network with Constraints. - K. Lakshmanan 001; Shalabh Bhatnagar (ICDCIT, 2011)

A novel Q-learning algorithm with function approximation for constrained Markov decision processes. - K. Lakshmanan 001; Shalabh Bhatnagar (Allerton Conference, 2012)

An Online Actor-Critic Algorithm with Function Approximation for Constrained Markov Decision Processes. - Shalabh Bhatnagar; K. Lakshmanan 001 (J. Optim. Theory Appl., 2012)

Multiscale Q-learning with linear function approximation. - Shalabh Bhatnagar; K. Lakshmanan 001 (Discret. Event Dyn. Syst., 2016)

Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization. - K. Lakshmanan 001; Shalabh Bhatnagar (Comput. Optim. Appl., 2017)

A parameter-free affinity based clustering. - Bhaskar Mukhoty; Ruchir Gupta; K. Lakshmanan 001; Mayank Kumar 002 (Appl. Intell., 2020)

Beam Alignment for mmWave Using Non-Stationary Bandits. - Ruchir Gupta; K. Lakshmanan 001; Abhay Kumar Sah (IEEE Commun. Lett., 2020)

Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer. - Abhinav Kumar 003; Sanjay Kumar Singh; Sonal Saxena; K. Lakshmanan 001; Arun Kumar Sangaiah; Himanshu Chauhan; Sameer Shrivastava; Raj Kumar Singh (Inf. Sci., 2020)

Multi-Time Scale Smoothed Functional With Nesterov's Acceleration. - Abhinav Sharma; K. Lakshmanan 001; Ruchir Gupta; Atul Gupta (IEEE Access, 2021)

Transition Based Discount Factor for Model Free Algorithms in Reinforcement Learning. - Abhinav Sharma; Ruchir Gupta; K. Lakshmanan 001; Atul Gupta (Symmetry, 2021)

CoMHisP: A Novel Feature Extractor for Histopathological Image Classification Based on Fuzzy SVM With Within-Class Relative Density. - Abhinav Kumar 003; Sanjay Kumar Singh; Sonal Saxena; Amit Kumar Singh 001; Sameer Shrivastava; K. Lakshmanan 001; Neeraj Kumar 001; Raj Kumar Singh (IEEE Trans. Fuzzy Syst., 2021)

A Novel Cloud-Assisted Secure Deep Feature Classification Framework for Cancer Histopathology Images. - Abhinav Kumar 003; Sanjay Kumar Singh; K. Lakshmanan 001; Sonal Saxena; Sameer Shrivastava (ACM Trans. Internet Techn., 2021)

A Game-Theoretic Approach for Increasing Resource Utilization in Edge Computing Enabled Internet of Things. - Sumit Kumar; Ruchir Gupta; K. Lakshmanan 001; Vipin Maurya (IEEE Access, 2022)

Stochastic Arrow-Hurwicz Algorithm for Path Selection and Rate Allocation in Self-Backhauled mmWave Networks. - Abhinav Sharma; K. Lakshmanan 001; Ruchir Gupta; Atul Gupta (IEEE Commun. Lett., 2022)

Comment on "Federated Learning With Differential Privacy: Algorithms and Performance Analysis". - Krishnan Rajkumar; Antriksh Goswami; K. Lakshmanan 001; Ruchir Gupta (IEEE Trans. Inf. Forensics Secur., 2022)

An Unsupervised Software Fault Prediction Approach Using Threshold Derivation. - Rakesh Kumar; Amrita Chaturvedi; K. Lakshmanan 001 (IEEE Trans. Reliab., 2022)

Proximal policy optimization based hybrid recommender systems for large scale recommendations. - Vaibhav Padhye; K. Lakshmanan 001; Amrita Chaturvedi (Multim. Tools Appl., 2023)

Influence maximization independent of seed set size. - K. Lakshmanan 001 (Oper. Res. Lett., 2025)

Computational Complexity of Finding Subgroups of a Given Order. - K. Lakshmanan 001 (CoRR, 2025)