2 citations · 2 across the 7 of their papers we have counts for
7 papers
Distributed Constraint Optimization via Online Learning and Iterative Pricing with Application to Large-Scale Satellite Scheduling
Itai Zilberstein, Pranav Rajbhandari, Steve Chien +1
Distributed constraint optimization problems (DCOPs) provide a popular framework for distributed decision making under limited communication, but many real-world instances are too…
Geodesic complexity of the octahedron, and an algorithm for cut loci on convex polyhedra
Florian Frick, Pranav Rajbhandari
The geodesic complexity of a length space quantifies the required number of case distinctions to continuously choose a shortest path connecting any given start and end point. W…
Understanding visual attention beehind bee-inspired UAV navigation
Pranav Rajbhandari, Abhi Veda, Matthew Garratt +2
Bio-inspired design is often used in autonomous UAV navigation due to the capacity of biological systems for flight and obstacle avoidance despite limited sensory and computational…
Fine Tuning Swimming Locomotion Learned from Mosquito Larvae
Pranav Rajbhandari, Karthick Dhileep, Sridhar Ravi +1
In prior research, we analyzed the backwards swimming motion of mosquito larvae, parameterized it, and replicated it in a Computational Fluid Dynamics (CFD) model. Since the parame…
Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games
Pranav Rajbhandari, Prithviraj Dasgupta, Donald Sofge
We consider the problem of team selection within multiagent adversarial team games. We propose BERTeam, a novel algorithm that uses a transformer-based deep neural network with Mas…
UAV Routing for Enhancing the Performance of a Classifier-in-the-loop
Deepak Prakash Kumar, Pranav Rajbhandari, Loy McGuire +2
Some human-machine systems are designed so that machines (robots) gather and deliver data to remotely located operators (humans) through an interface in order to aid them in classi…
Learning NEAT Emergent Behaviors in Robot Swarms
Pranav Rajbhandari, Donald Sofge
When researching robot swarms, many studies observe complex group behavior emerging from the individual agents' simple local actions. However, the task of learning an individual po…