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L A Prashanth
Associate Professor
Email : prashla [at] cse [dot] iitm [dot] ac [dot] in | Phone : 4377
Lab(s) : RL.
Link to Personal Homepage
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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 PrashanthAppeared 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 PrecupAppeared 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 PrashanthAppeared 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 PrashanthAppeared in
IEEE Trans. Autom. Control., Vol 68, pp.1628-1641, Jan 2023
- A Survey of Risk-Aware Multi-Armed Bandits.
| 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) |
