Pursuit-evasion game strategy of USV based on deep reinforcement learning in complex multi-obstacle environment

Author:

Qu Xiuqing,Gan Wenhao,Song DaleiORCID,Zhou Liqin

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference36 articles.

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3. An approach to multi-agent pursuit evasion games using reinforcement learning;Bilgin,2015

4. Braylan, Alex, Hollenbeck, Mark, Meyerson, Elliot, Miikkulainen, Risto, 2015. Frame skip is a powerful parameter for learning to play atari. In: Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence.

5. On the use and misuse of absorbing states in multi-agent reinforcement learning;Cohen,2021

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