Z. A. Volovikova, M. P. Kuznetsova, A. A. Skrynnik, A. I. Panov
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引用次数: 0
Abstract
This article presents a review and comparative analysis of multimodal virtual environments for reinforcement learning. Seven different environments are considered, including the HomeGrid, BabyAI, RTFM, Messenger, Touchdown, Alfred, and IGLU, and research is focused on their peculiarities and requirements to agents. The main attention is paid to such parameters as complexity of text instructions and the dynamic properties of the environment. The conducted analysis identifies the strengths and weaknesses of each environment, which allows determining the optimal conditions for effective agent training, and also emphasizes the need to create more balanced environments combining high requirements to both understanding of language and interaction with the surrounding.
期刊介绍：
Doklady Mathematics is a journal of the Presidium of the Russian Academy of Sciences. It contains English translations of papers published in Doklady Akademii Nauk (Proceedings of the Russian Academy of Sciences), which was founded in 1933 and is published 36 times a year. Doklady Mathematics includes the materials from the following areas: mathematics, mathematical physics, computer science, control theory, and computers. It publishes brief scientific reports on previously unpublished significant new research in mathematics and its applications. The main contributors to the journal are Members of the RAS, Corresponding Members of the RAS, and scientists from the former Soviet Union and other foreign countries. Among the contributors are the outstanding Russian mathematicians.
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