Prithvi Poddar

According to our database, Prithvi Poddar authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning.

Prithvi Poddar, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury

CoRR, June, 2025

Multi-Agent Deep Reinforcement Learning for Persistent Monitoring With Sensing, Communication, and Localization Constraints.

Manav Mishra, Prithvi Poddar, Rajat Agrawal, Jingxi Chen, Pratap Tokekar, P. B. Sujit

IEEE Trans Autom. Sci. Eng., 2025

2024

A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility.

Prithvi Poddar, Steve Paul, Souma Chowdhury

CoRR, 2024

2023

RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback.

Souradip Chakraborty, Kasun Weerakoon, Prithvi Poddar, Pratap Tokekar, Amrit Singh Bedi, Dinesh Manocha

CoRR, 2023

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization.

Souradip Chakraborty, Amrit Singh Bedi, Kasun Weerakoon, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

A Model-free Deep Reinforcement Learning Approach To Maneuver A Quadrotor Despite Single Rotor Failure.

Paras Sharma, Prithvi Poddar, P. B. Sujit

CoRR, 2021

GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints.

Manav Mishra, Prithvi Poddar, Jingxi Chen, Pratap Tokekar, P. B. Sujit

CoRR, 2021