Applying a Generative Adversarial Approach to Build an Intelligent Control System for Robotic Systems-Reference-Cited by-同舟云学术

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Applying a Generative Adversarial Approach to Build an Intelligent Control System for Robotic Systems

Published:2023-09-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Russian Automation Conference (RusAutoCon)
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Author:

Nikolaev Evgeny¹,Zakharova Nataly²,Zakharov Vladimir³

Affiliation:

1. North-Caucasus Federal University,Information Systems and Technologies Department,Stavropol,Russia

2. North-Caucasus Federal University,Department of Informatics,Stavropol,Russia

3. Stavropol State Agrarian University,Mathematical Department,Stavropol,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10272720/10272698/10272794.pdf?arnumber=10272794

Reference28 articles.

1. Energy-Efficient Gait Optimization of Snake-Like Modular Robots by Using Multiobjective Reinforcement Learning and a Fuzzy Inference System

2. Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints

3. Generative adversarial nets;goodfellow;Proc of the 27th Int Conf on Neural Information Processing Systems (NIPS’14),2014

4. Mapless Navigation with Deep Reinforcement Learning based on The Convolutional Proximal Policy Optimization Network

5. Deep Learning Control for Digital Feedback Systems: Improved Performance with Robustness against Parameter Change

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