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L A Prashanth
Assistant Professor
Email : prashla [at] cse [dot] iitm [dot] ac [dot] in | Phone : 4377
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
- Estimation of Spectral Risk Measures.
Authors :
Ajay Kumar Pandey,
L A Prashanth,
Sanjay P. BhatAppeared in
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp.12166-12173, Feb 2021
- Concentration bounds for temporal difference learning with linear function approximation: the case of batch data and uniform sampling.
Authors :
L A Prashanth,
Nathaniel Korda,
Rmi MunosAppeared in
Mach. Learn., Vol 110, pp.559-618, Jan 2021
- Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions.
Authors :
L A Prashanth,
Krishna P. Jagannathan,
Ravi Kumar KollaAppeared in
Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event. (ICML 2020) ,Proceedings of Machine Learning Research, Vol 119, pp.5577-5586, Jul 2020
- Random Directions Stochastic Approximation With Deterministic Perturbations.
Authors :
L A Prashanth,
Shalabh Bhatnagar,
Nirav Bhavsar,
Michael C. Fu 0001,
Steven I. MarcusAppeared in
IEEE Trans. Autom. Control., Vol 65, pp.2450-2465, Jan 2020
- Concentration of risk measures: A Wasserstein distance approach.
Authors :
Sanjay P. Bhat,
L A PrashanthAppeared in
Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada., pp.11739-11748, Dec 2019
| Aug 2021 - Dec 2021 | : | - Reinforcement learning (CS6700) |
| Feb 2021 - May 2021 | : | - Reinforcement learning (CS6700) |
| Jul 2019 - Nov 2019 | : | - Linear Algebra and Random Processes (CS6015) |
| Jan 2019 - May 2019 | : | - Pattern Recognition and Machine Learning (CS5691) |
| Jan 2019 - May 2019 | : | - Multi-armed bandits (CS6046) |
