4 citations · 19 across the 16 of their papers we have counts for
29 papers
Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information
Vishnu Dutt Sharma, John P. Dickerson, Pratap Tokekar
Green Security Games with real-time information (GSG-I) add the real-time information about the agents' movement to the typical GSG formulation. Prior works on GSG-I have used deep…
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy
Shamak Dutta, Nils Wilde, Pratap Tokekar +1
We study the sample placement and shortest tour problem for robots tasked with mapping environmental phenomena modeled as stationary random fields. The objective is to minimize the…
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage
Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar
Centralized approaches for multi-robot coverage planning problems suffer from the lack of scalability. Learning-based distributed algorithms provide a scalable avenue in addition t…
Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous
Ahmad Bilal Asghar, Guangyao Shi, Nare Karapetyan +4
We study a resource allocation problem for the cooperative aerial-ground vehicle routing application, in which multiple Unmanned Aerial Vehicles (UAVs) with limited battery capacit…
Risk-aware UAV-UGV Rendezvous with Chance-Constrained Markov Decision Process
Guangyao Shi, Nare Karapetyan, Ahmad Bilal Asghar +4
We study a chance-constrained variant of the cooperative aerial-ground vehicle routing problem, in which an Unmanned Aerial Vehicle (UAV) with limited battery capacity and an Unman…
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil +3
We focus on parameterized policy search for reinforcement learning over continuous action spaces. Typically, one assumes the score function associated with a policy is bounded, whi…