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12/29/2021
Reachability Analysis for FollowerStopper: Safety Analysis and Experimental Results
Motivated by earlier work and the developer of a new algorithm, the Foll...
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10/22/2021
Solving N-player dynamic routing games with congestion: a mean field approach
The recent emergence of navigational tools has changed traffic patterns ...
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02/18/2020
Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks
When a neural network is partitioned and distributed across physical nod...
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12/09/2019
Daily Data Assimilation of a Hydrologic Model Using the Ensemble Kalman Filter
Accurate runoff forecasting is crucial for reservoir operators as it all...
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12/05/2019
Inter-Level Cooperation in Hierarchical Reinforcement Learning
This article presents a novel algorithm for promoting cooperation betwee...
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09/03/2019
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud
Partitioning and distributing deep neural networks (DNNs) over physical ...
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08/10/2019
BISTRO: Berkeley Integrated System for Transportation Optimization
This article introduces BISTRO, a new open source transportation plannin...
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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
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control
Flow is a new computational framework, built to support a key need trigg...
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01/30/2017
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning
This article shows how the recent breakthroughs in Reinforcement Learnin...
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06/22/2014