End-to-end Multi-Objective Deep Reinforcement Learning for Autonomous Navigation
Author:
Affiliation:
1. Guangxi University of Science and Technology,College of Automation
2. Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,ShenZhen,China,518055
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10249208/10249018/10249369.pdf?arnumber=10249369
Reference23 articles.
1. Safe reinforcement learning using robust mpc;zanon;IEEE Transactions on Automatic Control,2020
2. Reinforcement learning of motor skills with policy gradients
3. Provably safe and robust learning-based model predictive control
4. Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
5. Deep reinforcement learning in parameterized action space;hausknecht,2015
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