10 citations · 38 across the 34 of their papers we have counts for
7 papers · 1 filter
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior
Liam A. Kruse, Esen Yel, Ransalu Senanayake +1
Safe and reliable autonomy solutions are a critical component of next-generation intelligent transportation systems. Autonomous vehicles in such systems must reason about complex a…
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills
Julia Tan, Ransalu Senanayake, Fabio Ramos
Deep reinforcement learning (RL) is a promising approach to solving complex robotics problems. However, the process of learning through trial-and-error interactions is often highly…
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
Bertrand Charpentier, Ransalu Senanayake, Mykel Kochenderfer +1
Characterizing aleatoric and epistemic uncertainty on the predicted rewards can help in building reliable reinforcement learning (RL) systems. Aleatoric uncertainty results from th…
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks
Malintha Fernando, Ransalu Senanayake, Ariful Azad +1
We propose a unified framework for coordinating Unmanned Aerial Vehicle (UAV) swarms operating under time-varying communication networks. Our framework builds on the concept of gra…
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
Harrison Delecki, Masha Itkina, Bernard Lange +2
Autonomous vehicles (AVs) rely on environment perception and behavior prediction to reason about agents in their surroundings. These perception systems must be robust to adverse we…
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget
Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim +8
We present a method for autonomous exploration of large-scale unknown environments under mission time constraints. We start by proposing the Frontloaded Information Gain Orienteeri…