L A Prashanth Home Page
Associate Professor
Email : prashla [at] cse [dot] iitm [dot] ac [dot] in   |   Phone : (+91)-44-2257-4377
Lab(s) : RL.
Link to Personal Homepage

Research Interests :

Reinforcement Learning, Stochastic Optimization, Multi-armed Bandits.

Publications : (Last Five, while at IITM)DBLP | View All

  • A policy gradient approach for optimization of smooth risk measures. 
    Authors : Nithia Vijayan, L A Prashanth
    Appeared in Uncertainty in Artificial Intelligence, UAI 2023, July 31 - 4 August 2023, Pittsburgh, PA, USA. (UAI 2023) ,Proceedings of Machine Learning Research, Vol 216, pp.2168-2178, Aug 2023
  • Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. 
    Authors : Gandharv Patil, L A Prashanth, Dheeraj Nagaraj, Doina Precup
    Appeared in International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain., Proceedings of Machine Learning Research, Vol 206, pp.5438-5448, Apr 2023
  • Generalized Simultaneous Perturbation Stochastic Approximation with Reduced Estimator Bias. 
    Authors : Shalabh Bhatnagar, L A Prashanth
    Appeared in 57th Annual Conference on Information Sciences and Systems, CISS 2023, Baltimore, MD, USA, March 22-24, 2023 (CISS 2023) ,pp.1-6, Mar 2023
  • Nonasymptotic Bounds for Stochastic Optimization With Biased Noisy Gradient Oracles. 
    Authors : Nirav Bhavsar, L A Prashanth
    Appeared in IEEE Trans. Autom. Control., Vol 68, pp.1628-1641, Jan 2023
  • A Survey of Risk-Aware Multi-Armed Bandits. 
    Authors : Vincent Y. F. Tan, L A Prashanth, Krishna P. Jagannathan
    Appeared in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. (IJCAI 2022) ,pp.5623-5629, Jul 2022

(Recent) Teaching : View All  |  Back to top

Jan 2023 - May 2023 : - Stochastic Optimization (CS6515)
Jan 2022 - Apr 2022 : - Object Oriented Algorithms Implementation and Analysis Lab (CS2810)
Jan 2022 - Apr 2022 : - Topics in Reinforcement Learning (CS7011)
Jan 2022 - Apr 2022 : - Stochastic Optimization (CS6515)
Aug 2021 - Dec 2021 : - Reinforcement learning (CS6700)

(Current) Advisees View All  |  Back to top

ProgramNameRoll No.Joining DateFunding
PhDNithia VCS17D003Jul 2017HTRA
PhDSoumen PachalCS22D009Jul 2022HTRA
MSAjay Kumar PandeyCS17S011Jul 2017HTRA
MSDipayan SenCS18S012Jul 2018HTRA