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08/01/2023
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems
Intelligent driving systems can be used to mitigate congestion through s...
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02/17/2023
Towards Co-operative Congestion Mitigation
The effects of traffic congestion are widespread and are an impedance to...
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10/16/2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning
Evaluations of Deep Reinforcement Learning (DRL) methods are an integral...
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05/15/2022
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles
Autonomous Vehicles (AVs) will have a transformative impact on society. ...
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04/26/2022
Learning Eco-Driving Strategies at Signalized Intersections
Signalized intersections in arterial roads result in persistent vehicle ...
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03/07/2022
The Braess Paradox in Dynamic Traffic
The Braess's Paradox (BP) is the observation that adding one or more roa...
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12/17/2021
It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process
The computing research community needs to work much harder to address th...
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12/14/2021
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic
Improvements in autonomy offer the potential for positive outcomes in a ...
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08/16/2021
Understanding the factors driving the opioid epidemic using machine learning
In recent years, the US has experienced an opioid epidemic with an unpre...
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03/09/2021
SMIL: Multimodal Learning with Severely Missing Modality
A common assumption in multimodal learning is the completeness of traini...
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03/20/2018
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Policy gradient methods have enjoyed great success in deep reinforcement...
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10/16/2017