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Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World
  Reinforcement Learning

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning

3 August 2020
A. Viitala
Rinu Boney
Yi Zhao
Alexander Ilin
Arno Solin
    OffRL
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Papers citing "Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning"

2 / 2 papers shown
Title
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola
Paolo Tonella
36
19
0
22 May 2023
Mind the Gap! A Study on the Transferability of Virtual vs
  Physical-world Testing of Autonomous Driving Systems
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems
Andrea Stocco
Brian Pulfer
Paolo Tonella
27
67
0
21 Dec 2021
1