An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

26 November 2020

Papers citing "An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space"

6 / 6 papers shown

Title
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning Ahmed Abouelazm Tim Weinstein Tim Joseph Philip Schorner J. M. Zöllner 39 0 0 13 May 2025
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model Shuo Yang Shizhen Li Yanjun Huang Hong Chen 39 0 0 23 Aug 2024
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems Shuo Yang Liwen Wang Yanjun Huang Hong Chen 32 0 0 22 Aug 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving Ahmed Abouelazm Jonas Michel J. M. Zöllner 44 6 0 12 Apr 2024
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 44 0 0 25 Apr 2023
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles S. Aradi 215 437 0 30 Jan 2020