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06/03/2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
Characterizing aleatoric and epistemic uncertainty on the predicted rewa...
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03/12/2022
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget
We present a method for autonomous exploration of large-scale unknown en...
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02/15/2022
A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer
We describe a light-weight yet performant system for hyper-parameter opt...
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10/17/2021
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks
We address the problem of routing a team of drones and trucks over large...
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08/29/2021
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
Autonomous vehicles need to model the behavior of surrounding human driv...
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12/24/2020
Hierarchical Planning for Resource Allocation in Emergency Response Systems
A classical problem in city-scale cyber-physical systems (CPS) is resour...
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12/03/2020
Obstacle Avoidance Using a Monocular Camera
A collision avoidance system based on simple digital cameras would help ...
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10/30/2020
Handling Missing Data with Graph Representation Learning
Machine learning with missing data has been approached in two different ...
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10/15/2020
Uncertainty Aware Wildfire Management
Recent wildfires in the United States have resulted in loss of life and ...
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10/15/2020
Designing Emergency Response Pipelines : Lessons and Challenges
Emergency response to incidents such as accidents, crimes, and fires is ...
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06/10/2020
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Imitation learning is an approach for generating intelligent behavior wh...
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06/07/2020
A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models
Emergency response to incidents such as roadway accidents is one of the ...
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05/28/2020
Improving Automated Driving through Planning with Human Internal States
This work examines the hypothesis that partially observable Markov decis...
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05/06/2020
Online Parameter Estimation for Human Driver Behavior Prediction
Driver models are invaluable for planning in autonomous vehicles as well...
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02/29/2020
Learning Near Optimal Policies with Low Inherent Bellman Error
We study the exploration problem with approximate linear action-value fu...
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01/21/2020
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities
Emergency Response Management (ERM) is a critical problem faced by commu...
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12/20/2019
Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning
New methodologies will be needed to ensure the airspace remains safe and...
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07/16/2019
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing
During the development of autonomous systems such as driverless cars, it...
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05/07/2019
Object Exchangeability in Reinforcement Learning: Extended Abstract
Although deep reinforcement learning has advanced significantly over the...
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10/22/2018
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data
Models for predicting aircraft motion are an important component of mode...
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02/20/2018
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures
Deep artificial neural networks (ANNs) can represent a wide range of com...
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01/18/2018
Toward Scalable Verification for Safety-Critical Deep Networks
The increasing use of deep neural networks for safety-critical applicati...
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09/18/2017
POMCPOW: An online algorithm for POMDPs with continuous state, action, and observation spaces
Online solvers for partially observable Markov decision processes have b...
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02/03/2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Deep neural networks have emerged as a widely used and effective means f...
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02/02/2017
The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving
Safe interaction with human drivers is one of the primary challenges for...
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01/24/2017