Aug 16, 2022 · Our approach is based on the actor-critic algorithm, where each UAV is treated as an actor that collects data decentralized in the environment.
This work proposes a multi-agent reinforcement learning algorithm based on the actor-critic algorithm, where each UAV is treated as an actor that collects ...
NASA/ADS · Collaborative Decision-Making Method for Multi-UAV Based on Multiagent Reinforcement Learning.
In this paper, we propose a cooperative maneuver decision method for multi-UAV pursuit and escape based on an improved MADRL algorithm. The method incorporates ...
Jun 21, 2023 · This paper proposes a multi-agent double-soft actor-critic (MADSAC) algorithm for solving the cooperative decision-making problem of multi-UAV.
Nov 5, 2024 · This paper proposes a deep reinforcement learning-based model for decision-making in multi-role UAV cooperative pursuit-evasion game, to address ...
Jul 24, 2024 · In this paper, a method based on multi-agent reinforcement learning (MARL) is proposed to address this issue.
Our results demonstrate the ability of artificial agents to learn cooperative behavior even in sequential games where defection is the subgame perfect Nash ...
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What is multi agent reinforcement learning?
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What is multi UAV system?
In this study, we present an end-to-end TSSAC method for multi-UAV cooperative decision-making. The decision-making process for each UAV is modeled as a CMDP.