Dr. Armaan Garg

Research Interests:

Reinforcement Learning, Artificial Intelligence, Multiagent Systems, Multi-robot/Multi-drone Systems

Department of CSE, Thapar Institute of Engineering & Technology, Patiala, 147004
armaan [.dot] garg [at] thapar [.dot] edu

[Check my google scholar page for full list of publications]

Armaan Garg, and Shashi Shekhar Jha. "Learning Continuous Multi-UAV Controls with Directed Explorations for Flood Area Coverage." Robotics and Autonomous Systems (Accepted) | IF - 4.3 (2024)
A. Kumar, K. Verma, Armaan Garg, and Shashi Shekhar Jha. Attentive A* for Visual Cue based Path Planning in Complex Environments. Fourth workshop on Agents and Robots for reliable Engineered Autonomy (AREA) at the 27th European Conference ON Artificial Intelligence. 2024. (Accepted)
Armaan Garg, and Shashi Shekhar Jha. "Multi-UAV Assisted Flood Navigation of Waterborne Vehicles using Deep Reinforcement Learning." ASME. J. Comput. Inf. Sci. Eng (JCISE 2024): 1-12. | IF - 3.1 (2022)
Armaan Garg, and Shashi Shekhar Jha. "Deep deterministic policy gradient based multi-UAV control for moving convoy tracking." Engineering Applications of Artificial Intelligence 126 (EAAI 2023): 107099. | IF - 8.0 (2022)
Armaan Garg, and Shashi Shekhar Jha. "Decentralized Critical Area Coverage Using Multi-UAV System with Guided Explorations During Floods." In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), pp. 1-6. IEEE, 2023.
Armaan Garg, Shashi Shekhar Jha, 2022. "Directed explorations during flood disasters using multi-UAV system." In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), pp. 2154-2161. IEEE, 2022.

Defended Thesis - April 2024, Title: "Learning Multi-UAV Policies Using Deep Reinforcement Learning for Flood Area Coverage and Object Tracking".
Research Fellowship from Tata Consultancy Services, TCS Research Scholars Programme, 2020-2023.

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