Research Interests :
Relational Learning, Reinforcement Learning, Graphical Models, and PlanningPublications : (Last Five, while at IITM)DBLP | View All
- RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains.
Authors :
Harsha Kokel,
Sriraam Natarajan,
Balaraman Ravindran,
Prasad TadepalliAppeared in
Neural Comput. Appl., Vol 35, pp.16877-16892, Jan 2023
- Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion.
Authors :
Harsha Kokel,
Nikhilesh Prabhakar,
Balaraman Ravindran,
Erik Blasch,
Prasad Tadepalli,
Sriraam NatarajanAppeared in
25th International Conference on Information Fusion, FUSION 2022, Linkping, Sweden, July 4-7, 2022 (FUSION 2022) ,pp.1-8, Jul 2022
- RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.
Authors :
Harsha Kokel,
Arjun Manoharan,
Sriraam Natarajan,
Balaraman Ravindran,
Prasad TadepalliAppeared in
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICASP 2021, Guangzhou, China (virtual), August 2-13, 2021 (ICASP 2021) ,pp.533-541, Aug 2021
- Relational Boosted Bandits.
Authors :
Ashutosh Kakadiya,
Sriraam Natarajan,
Balaraman RavindranAppeared 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.12123-12130, Feb 2021
- Integrating Human Instructions and Reinforcement Learners: An SRL Approach.
Authors :
Pradyot Korupolu V. N.,
S. S. Manimaran ,
Balaraman Ravindran,
Sriraam NatarajanAppeared in
2nd International Workshop on Statistical Relational AI (StaRAI-12), held at the Uncertainty in Artificial Intelligence Conference (UAI 2012), Catalina Island, CA, USA, August 18, 2012, Aug 2012