Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks-Reference-Cited by-同舟云学术

Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks

Published:2022-07 Issue:3 Volume:7 Page:6590-6597
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Erskine Jordan¹^ORCID,Lehnert Christopher¹^ORCID

Affiliation:

1. Queensland University of Technology, Brisbane, QLD, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9750005/09772966.pdf?arnumber=9772966

Reference29 articles.

1. Meta learning shared hierarchies;frans;Proc Int Conf Learn Representations,0

2. Actor-attention-critic for multi-agent reinforcement learning;iqbal;Proc Int Conf Mach Learn,0

3. Zero-shot task generalization with multi-task deep reinforcement learning;oh;Proc 34th Int Conf Mach Learn,0

4. Using reward machines for high-level task specification and decomposition in reinforcement learning;icarte;Proc Int Conf Mach Learn,0

5. The option-critic architecture;bacon;Proc 31st AAAI Conf Artif Intell,0

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