Overcoming model bias for robust offline deep reinforcement learning-Reference-Cited by-同舟云学术

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Overcoming model bias for robust offline deep reinforcement learning

Published:2021-09 Issue: Volume:104 Page:104366
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Swazinna Phillip^ORCID,Udluft Steffen^ORCID,Runkler Thomas^ORCID

Funder

Bundesministerium für Bildung und Forschung Dienststelle Berlin

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference58 articles.

1. Experience replay for real-time reinforcement learning control;Adam;IEEE Trans. Syst. Man Cybern. C,2011

2. Striving for simplicity in off-policy deep reinforcement learning;Agarwal,2019

3. Hindsight experience replay;Andrychowicz,2017

4. Unifying count-based exploration and intrinsic motivation;Bellemare,2016

5. Openai GYM;Brockman,2016

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