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20122026
most citedCombining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

313 citations

Showing 2020Show all

6 papers · 1 filter

cs.LG2020★ 160 cited

River: machine learning for streaming data in Python

Jacob Montiel, Max Halford, Saulo Martiello Mastelini +8

River is a machine learning library for dynamic data streams and continual learning. It provides multiple state-of-the-art learning methods, data generators/transformers, performan…

cs.SE2020★ 5 cited

Understanding Work Practices of Autonomous Agile Teams: A Social-psychological Review

Lucas Gren

The purpose of this paper is to suggest additional aspects of social psychology that could help when making sense of autonomous agile teams. To make use of well-tested theories in…

cs.LG2020★ 6 cited

A Generic Framework for Clustering Vehicle Motion Trajectories

Fazeleh S. Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani

The development of autonomous vehicles requires having access to a large amount of data in the concerning driving scenarios. However, manual annotation of such driving scenarios is…

cs.CV2020★ 61 cited

A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories

Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani +1

We propose a unified deep learning framework for the generation and analysis of driving scenario trajectories, and validate its effectiveness in a principled way. To model and gene…

cs.SE2020

What an Agile Leader Does: The Group Dynamics Perspective

Lucas Gren, Magdalena Lindman

When large industrial organizations change to(or start with) an agile approach to operations, managers and some employees are supposed to be "agile leaders" often without being giv…

cs.SE2020

Security Assurance Cases for Road Vehicles: an Industry Perspective

Mazen Mohamad, Alexander Åström, Örjan Askerdal +2

Assurance cases are structured arguments that are commonly used to reason about the safety of a product or service. Currently, there is an ongoing push towards using assurance case…