Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems-Reference-Cited by-同舟云学术

Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems

Published:2021-12-14 Issue: Volume: Page:
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Container-title:2021 60th IEEE Conference on Decision and Control (CDC)
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Author:

Li Jingqi,Fridovich-Keil David,Sojoudi Somayeh,Tomlin Claire J.

Funder

Air Force Office of Scientific Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9682670/9682776/09683088.pdf?arnumber=9683088

Reference37 articles.

1. Variable Stability In-Flight Simulation System Based on Existing Autopilot Hardware

2. Trust region policy optimization;schulman;International Conference on Machine Learning,2015

3. Continuous control with deep reinforcement learning;lillicrap,2015

4. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor;haarnoja;International Conference on Machine Learning,2018

5. Openai gym;brockman,2016

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