创新首发基于深度强化学习(PyTorch)的智能体自主避障导航系统源码

上传者: NUDT001 | 上传时间: 2026-03-11 15:55:12 | 文件大小: 5.87MB | 文件类型: ZIP
本资源提供了一套完整的基于 PyTorch 框架的强化学习避障算法代码。针对机器人在未知环境中的自主导航问题,本算法通过训练智能体学习“感知-决策”的端到端策略,实现无碰撞地到达目标点。 代码结构清晰,包含环境搭建、神经网络定义、训练脚本以及可视化评估模块,非常适合用于毕业设计、科研入门或企业预研。 算法模型:实现了改进的 A2C 算法,并针对避障任务进行了奖励函数优化。 状态空间:智能体通过相对位置感知环境。 动作空间:连续控制。 环境交互:支持动态/静态障碍物生成。 训练稳定:提供了调参后的超参数配置,训练曲线平滑,收敛速度快。

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