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04/24/2023
Synthetic Datasets for Autonomous Driving: A Survey
Autonomous driving techniques have been flourishing in recent years whil...
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02/27/2023
(Re)^2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
Autonomous driving and its widespread adoption have long held tremendous...
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06/27/2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
Learning effective reinforcement learning (RL) policies to solve real-wo...
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10/22/2021
ModEL: A Modularized End-to-end Reinforcement Learning Framework for Autonomous Driving
Heated debates continue over the best autonomous driving framework. The ...
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07/25/2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
How to explore corner cases as efficiently and thoroughly as possible ha...
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09/09/2020
Tactical Decision Making for Emergency Vehicles based on a Combinational Learning Method
Increasing response time of emergency vehicles (EVs) could lead to an im...
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09/30/2019
Tensor-based Cooperative Control for Large Scale Multi-intersection Traffic Signal Using Deep Reinforcement Learning and Imitation Learning
Traffic signal control has long been considered as a critical topic in i...
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06/20/2019
Cooperative Lane Changing via Deep Reinforcement Learning
In this paper, we study how to learn an appropriate lane changing strate...
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11/25/2016
