Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning

23 December 2023

Papers citing "Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning"

7 / 7 papers shown

Title
Learning Realistic Traffic Agents in Closed-loop Chris Zhang James Tu Lunjun Zhang Kelvin Wong Simon Suo R. Urtasun 72 21 0 02 Nov 2023
Scaling laws for single-agent reinforcement learning Jacob Hilton Jie Tang John Schulman 90 21 0 31 Jan 2023
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies Matt Vitelli Yan-Xia Chang Yawei Ye Maciej Wołczyk Bla.zej Osiñski Moritz Niendorf Hugo Grimmett Qiangui Huang Ashesh Jain Peter Ondruska 53 80 0 28 Sep 2021
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,824 0 13 Dec 2019
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 218 1,600 0 05 Feb 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 135 5,173 0 10 Nov 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017