|
L A Prashanth
Associate Professor
Email : prashla [at] cse [dot] iitm [dot] ac [dot] in | Phone : 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 Survey of Risk-Aware Multi-Armed Bandits.
Authors :
Vincent Y. F. Tan,
L A Prashanth,
Krishna P. JagannathanAppeared 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
- Risk-Sensitive Reinforcement Learning via Policy Gradient Search.
Authors :
L A Prashanth,
Michael C. Fu Appeared in
Found. Trends Mach. Learn., Vol 15, pp.537-693, Jan 2022
- 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
- Smoothed functional-based gradient algorithms for off-policy reinforcement learning: A non-asymptotic viewpoint.
| 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) |
