Shypd.aiThe largest open index of AI toolsDQN-based-UAV-3D_path_planer is an open-source training framework for UAV deep reinforcement learning tasks. It integrates multiple mainstream deep reinforcement learning algorithms for 3D path planning.
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DQN-based-UAV-3D_path_planer, also known as RLGF, is a comprehensive open-source training framework designed for Unmanned Aerial Vehicle (UAV) deep reinforcement learning tasks. It provides a versatile environment for developing and testing UAV path planning solutions, supporting both continuous and discrete flight actions. The framework integrates a variety of mainstream deep reinforcement learning algorithms, including SAC, DQN, DDQN, PPO, Dueling DQN, and DDPG. Users can customize task environment models and UAV parameters via XML configuration files, enabling rapid development of specific UAV missions. It also offers training log support and multi-dimensional visualization of UAV trajectories, including static HTML outputs and dynamic visualization via a Java backend with MySQL integration.
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