262 citations · 1.8k across the 75 of their papers we have counts for
9 papers · 1 filter
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search
Nikhil Angad Bakshi, Tejus Gupta, Ramina Ghods +1
Robotic solutions for quick disaster response are essential to ensure minimal loss of life, especially when the search area is too dangerous or too vast for human rescuers. We mode…
Multi-Agent Active Search using Detection and Location Uncertainty
Arundhati Banerjee, Ramina Ghods, Jeff Schneider
Active search, in applications like environment monitoring or disaster response missions, involves autonomous agents detecting targets in a search space using decision making algor…
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
Zhiqian Qiao, Jeff Schneider, John M. Dolan
For autonomous vehicles, effective behavior planning is crucial to ensure safety of the ego car. In many urban scenarios, it is hard to create sufficiently general heuristic rules,…
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Ramina Ghods, William J. Durkin, Jeff Schneider
The active search for objects of interest in an unknown environment has many robotics applications including search and rescue, detecting gas leaks or locating animal poachers. Exi…
Human Driver Behavior Prediction based on UrbanFlow
Zhiqian Qiao, Jing Zhao, Zachariah Tyree +3
How autonomous vehicles and human drivers share public transportation systems is an important problem, as fully automatic transportation environments are still a long way off. Unde…
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning
Zhiqian Qiao, Zachariah Tyree, Priyantha Mudalige +2
In this work, we propose a hierarchical reinforcement learning (HRL) structure which is capable of performing autonomous vehicle planning tasks in simulated environments with multi…