Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning With Asymmetric Rewards-Reference-Cited by-同舟云学术

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Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning With Asymmetric Rewards

Published:2024 Issue: Volume:8 Page:1180-1185
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Sonmez Yasin¹^ORCID,Junnarkar Neelay¹^ORCID,Arcak Murat¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA

Funder

National Science Foundation Award

Air Force Office of Scientific Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/7782633/10411713/10547543-aam.pdf

Reference19 articles.

1. Continuous control with deep reinforcement learning;Lillicrap;arXiv:1509.02971,2019

2. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor;Haarnoja;arXiv:1801.01290,2018

3. Proximal policy optimization algorithms;Schulman;arXiv:1707.06347,2017

4. Model-based Reinforcement Learning: A Survey

5. MDP homomorphic networks: Group symmetries in reinforcement learning;van der Pol

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