Multi-Input Autonomous Driving Based on Deep Reinforcement Learning With Double Bias Experience Replay
Author:
Affiliation:
1. School of Mechanical Engineering, Xinjiang University, Urumqi, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10139852/10024943.pdf?arnumber=10024943
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1. CARLA: An open urban driving simulator;dosovitskiy;Proc Conf Robot Learn,2017
2. Deep Reinforcement Learning With Quantum-Inspired Experience Replay
3. LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
4. Deep Distributional Reinforcement Learning Based High-Level Driving Policy Determination
5. Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
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