Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning
Author:
Affiliation:
1. Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, Espoo, Finland
Funder
Academy of Finland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/9927386/09708728.pdf?arnumber=9708728
Reference29 articles.
1. End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context
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4. Deep Reinforcement Learning for Autonomous Driving: A Survey
5. Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
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