K. Lakshmanan

I work as Assistant Professor in Amrita School of Engineering, Bangalore. Earlier I was post-doc at NUS, Montanuniversität Leoben Austria, IIT Bombay and IISc Bangalore. I completed my PhD at the Indian Institute of Science, Bangalore under Prof. Shalabh Bhatnagar in 2013 and B.Tech at Anna University,  Guindy Chennai in 2006.

Papers:

Journal:

1.  K. Lakshmanan and S. Bhatnagar, Quasi-Newton Smoothed Functional Algorithms for Unconstrained and Constrained Simulation Optimization, Computational Optimization and Applications, Vol 66 Issue 3, pp. 533-556, 2017 [Link] 

2.  S. Bhatnagar and Lakshmanan K., Multiscale Q-learning with Linear Function Approximation, Discrete Event Dynamic Systems,  Vol 26, Issue 3, pp. 477-509, 2016 [Link] 

3.  S. Bhatnagar and Lakshmanan K., An Online Actor–Critic Algorithm with Function Approximation for Constrained Markov Decision Processes,  Journal of Optimization Theory and Applications, Vol 153, No. 3, pp. 688-708, 2012 [Link] 

Conference:

1. K. Lakshmanan, R. Ortner and D. Ryabko, Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning, JMLR Workshop and Conference Proceedings Volume 37 : Proceedings of The 32nd International Conference on Machine Learning (ICML) pp. 524-532, 2015 [Link] 

2. K.Lakshmanan and S. Bhatnagar, An Online Convergent Constrained Q-learning Algorithm with Linear Function Approximation, Invited paper at 50th Annual Allerton Conference on Communication, Control, and Computing,  pp. 400-405, 2012 [Link]

3. K. Lakshmanan and S. Bhatnagar, Smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Networks with Constraints, Proceedings of Distributed Computing and Internet Technology (ICDCIT), LNCS Vol. 6536, pp. 175-186, 2011 [Link]

4. R. Thilagaraj, L. Kailasam and K. Lakshmanan, Strengthening RSA Algorithm, Proceedings of the International Conference on Information Security, Pondicherry, 2005

Other Interests: