Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving

23 July 2022

Papers citing "Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving"

7 / 7 papers shown

Title
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey barbara Schutt Joshua Ransiek Thilo Braun Eric Sax 45 13 0 21 Apr 2023
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies Lukas M. Schmidt Sebastian Rietsch Axel Plinge Bjoern M. Eskofier Christopher Mutschler OffRL 35 5 0 16 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 38 33 0 15 Mar 2022
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models Nicholas Rhinehart Jeff He Charles Packer Matthew A. Wright R. McAllister Joseph E. Gonzalez Sergey Levine 103 32 0 21 Apr 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 139 193 0 19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,631 0 02 Feb 2020