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20152026
most citedA Survey of End-to-End Driving: Architectures and Training Methods

291 citations · 295 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

How Uncertainty Estimation Scales with Sampling in Reasoning Models

Maksym Del, Markus Kängsepp, Marharyta Domnich +4

Uncertainty estimation is critical for deploying reasoning language models, yet remains poorly understood under extended chain-of-thought reasoning. We study parallel sampling as a…

cs.AI2022

LiDAR-as-Camera for End-to-End Driving

Ardi Tampuu, Romet Aidla, Jan Are van Gent +1

The core task of any autonomous driving system is to transform sensory inputs into driving commands. In end-to-end driving, this is achieved via a neural network, with one or multi…

cs.AI2020★ 291 cited

A Survey of End-to-End Driving: Architectures and Training Methods

Ardi Tampuu, Maksym Semikin, Naveed Muhammad +2

Autonomous driving is of great interest to industry and academia alike. The use of machine learning approaches for autonomous driving has long been studied, but mostly in the conte…

cs.AI2019

Perspective Taking in Deep Reinforcement Learning Agents

Aqeel Labash, Jaan Aru, Tambet Matiisen +2

Perspective taking is the ability to take the point of view of another agent. This skill is not unique to humans as it is also displayed by other animals like chimpanzees. It is an…

cs.AI2015

Multiagent Cooperation and Competition with Deep Reinforcement Learning

Ardi Tampuu, Tambet Matiisen, Dorian Kodelja +5

Multiagent systems appear in most social, economical, and political situations. In the present work we extend the Deep Q-Learning Network architecture proposed by Google DeepMind t…