Belief State Actor-Critic Algorithm from Separation Principle for POMDP-Reference-Cited by-同舟云学术

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Belief State Actor-Critic Algorithm from Separation Principle for POMDP

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 American Control Conference (ACC)
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Author:

Yang Yujie¹,Jiang Yuxuan¹,Chen Jianyu²,Li Shengbo Eben¹,Gu Ziqing¹,Yin Yuming³,Zhang Qian⁴,Yu Kai⁴

Affiliation:

1. Tsinghua University,State Key Lab of Automotive Safety and Energy, School of Vehicle and Mobility,Beijing,China,100084

2. Tsinghua University,Institute of Interdisciplinary Information Sciences,Beijing,China,100084

3. Zhejiang University of Technology,College of Mechanical Engineering,Zhejiang,China,310014

4. Horizon Robotics,Beijing,China,100085

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155646/10155787/10155792.pdf?arnumber=10155792

Reference28 articles.

1. Deep variational reinforcement learning for pomdps;igl;Proceedings of the 35th International Conference on Machine Learning,2018

2. Recurrent world models facilitate policy evolution;ha;Advances in neural information processing systems,2018

3. Dream to control: Learning behaviors by latent imagination;hafner;International Conference on Learning Representations,2020

4. Learning latent dynamics for planning from pixels;hafner;International Conference on Machine Learning,2019

5. Deep variational bayes filters: Unsupervised learning of state space models from raw data;karl,2016

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