Research Profiles
Research Focus
Reinforcement learning for pursuit-evasion and search problems under
partial observability, noisy sensing, and constrained decision spaces.
Applications include UAV-assisted sensing, autonomous search strategies,
and grid-based policy learning under uncertainty.
Publications & Thesis
Master’s Thesis
Deep Reinforcement Learning Based Pursuit of a Ground Target in a
Grid with Local and Erroneous
Information
University of Cincinnati · 2024
Developed deep reinforcement learning strategies for pursuit-evasion in
grid environments with partial and erroneous local information.
Analyzed policy robustness under sensor noise and evaluated convergence
stability across discrete decision models.
BibTeX
@mastersthesis{elkoori2024deep, title={Deep Reinforcement Learning based pursuit of a ground target in a grid with local and erroneous information}, author={Elkoori Ghantala Karnam, Srikanth}, year={2024}, school={University of Cincinnati} }Conference Paper
Q-Learning Based Search of a Ground Target in a Grid with Partial
Information
AIAA SCITECH 2023 Forum · Washington, DC · 2023
Proposed a Q-learning framework for pursuit-evasion in partially
observable grid environments.
Investigated learning performance under incomplete state information and
evaluated policy convergence under constrained sensing.
DOI: 10.2514/6.2023-2654
BibTeX
@inproceedings{elkoori2023q, title={Q-Learning Based Search of a Ground Target in a grid with partial information}, author={Elkoori Ghantala Karnam, Srikanth and Sharma, Rajnikant}, booktitle={AIAA SCITECH 2023 Forum}, pages={2654}, year={2023} }Conference Presentations
Deep Reinforcement Learning based pursuit of a ground target in a grid
with local, partial and erroneous information
49th Dayton-Cincinnati Aerospace Sciences Symposium · 2024
Reinforcement Learning based search of a moving ground target by a UAV
aided by ground sensors
47th Dayton-Cincinnati Aerospace Sciences Symposium · 2022
(See ORCID for indexed records and metadata.)
Peer Review Activity
Reviewer — Journal of Intelligent & Robotic Systems
(Recorded in ORCID profile)