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09/13/2023
So you think you can track?
This work introduces a multi-camera tracking dataset consisting of 234 h...
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10/28/2022
Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
Credit-based congestion pricing (CBCP) has emerged as a mechanism to all...
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09/19/2022
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset
Decentralized multiagent planning has been an important field of researc...
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12/30/2021
Parallel Network Flow Allocation in Repeated Routing Games via LQR Optimal Control
In this article, we study the repeated routing game problem on a paralle...
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12/29/2021
Multi-Adversarial Safety Analysis for Autonomous Vehicles
This work in progress considers reachability-based safety analysis in th...
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12/09/2021
Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic
Reinforcement learning techniques can provide substantial insights into ...
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04/26/2021
Quasi-Dynamic Traffic Assignment using High Performance Computing
Traffic assignment methods are some of the key approaches used to model ...
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03/02/2021
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games
Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...
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12/25/2020
A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction
Accurate and reliable prediction of traffic measurements plays a crucial...
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12/03/2020
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
A wide range of reinforcement learning (RL) problems - including robustn...
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10/30/2020
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL
We study the ability of autonomous vehicles to improve the throughput of...
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08/04/2020
Robust Reinforcement Learning using Adversarial Populations
Reinforcement Learning (RL) is an effective tool for controller design b...
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12/27/2018
On the Approximability of Time Disjoint Walks
We introduce the combinatorial optimization problem Time Disjoint Walks....
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12/14/2018
Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles
Using deep reinforcement learning, we train control policies for autonom...
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04/30/2018
A unified software framework for solving traffic assignment problems
We describe a software framework for solving user equilibrium traffic as...
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09/09/2011