@inproceedings{08269c393908491a9951c44dd32a425d,
title = "Pseudorehearsal in actor-critic agents with neural network function approximation",
abstract = "Catastrophic forgetting has a significant negative impact in reinforcement learning. The purpose of this study is to investigate how pseudorehearsal can change performance of an actor-critic agent with neural-network function approximation. We tested agent in a pole balancing task and compared different pseudorehearsal approaches. We have found that pseudorehearsal can assist learning and decrease forgetting.",
keywords = "Catastrophic forgetting, Neural networks, Pseudorehearsal, Reinforcement learning",
author = "Vladimir Marochko and Leonard Johard and Manuel Mazzara and Luca Longo",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018 ; Conference date: 16-05-2018 Through 18-05-2018",
year = "2017",
doi = "10.1109/AINA.2018.00099",
language = "English",
isbn = "9781538621943",
series = "Proceedings - International Conference on Advanced Information Networking and Applications, AINA",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "644--650",
editor = "Leonard Barolli and Tomoya Enokido and Ogiela, \{Marek R.\} and Lidia Ogiela and Nadeem Javaid and Makoto Takizawa",
booktitle = "Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018",
address = "United States",
}