Hjananggch / gym_super_marioLinks
本项目旨在探索强化学习技术在经典游戏《超级玛丽》中的应用,通过训练一个智能代理来自主导航并完成游戏关卡。我们采用了深度Q网络(DQN)和双深度Q网络(DDQN)等先进的强化学习算法,结合神经网络,使得代理能够学习如何在游戏世界中生存并获得高分。 项目特点 强化学习实践:本项目是强化学习理论与实践的结合,展示了如何将强化学习算法应用于实际问题中。 深度学习集成:通过集成深度学习模型,我们的智能代理能够处理复杂的游戏环境并做出决策。 环境优化:我们对游戏环境进行了优化,包括状态预处理和奖励设计,以提高学习效率和 代理性能。 可视化工具:项目包含了训练过程的可视化工具,帮助开发者和研究人员理解代理的学习进度和行为策略。
☆9Updated 9 months ago
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