Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning

Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning

13 May 2025

Ahmed Abouelazm

Philip Schorner

ArXiv (abs)PDF HTML

Papers citing "Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning"

19 / 19 papers shown

Title
End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing Meraj Mammadov 31 3 0 01 Sep 2023
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 166 309 0 29 Jun 2023
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios Lan Feng Quanyi Li Zhenghao Peng Shuhan Tan Bolei Zhou 88 90 0 12 Oct 2022
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real Eduardo Candela L. Parada Luís Marques Tiberiu-Andrei Georgescu Y. Demiris Panagiotis Angeloudis 63 32 0 22 Mar 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 203 102 0 06 Oct 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 187 233 0 17 Jan 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles Jingkang Wang Ava Pun James Tu S. Manivasagam Abbas Sadat Sergio Casas Mengye Ren R. Urtasun 95 169 0 16 Jan 2021
SceneGen: Learning to Generate Realistic Traffic Scenes Shuhan Tan K. Wong Shenlong Wang S. Manivasagam Mengye Ren R. Urtasun 81 106 0 16 Jan 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 90 237 0 03 Dec 2020
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space Majid Moghadam Ali Alizadeh Engin Tekin G. Elkaim 79 12 0 26 Nov 2020
Learning Lane Graph Representations for Motion Forecasting Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 81 574 0 27 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 78 163 0 08 Jul 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 356 1,689 0 02 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li Masayoshi Tomizuka 122 238 0 23 Jan 2020
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 63 266 0 20 Apr 2019
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 149 5,212 0 10 Nov 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 554 19,296 0 20 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 267 2,973 0 20 Mar 2017
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 135 3,439 0 08 Jun 2015

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