pytorch实现的在线强化学习11种常见算法代码
这个资源是一个包含了使用 PyTorch 实现的11种常见在线强化学习算法的代码集合。每个算法都有独立的文件夹，可以单独运行并测试相应算法在不同环境中的性能。以下是资源中包含的算法：
1、Q-learning
2、SARSA
3、DQN (Deep Q-Network)
4、Double-DQN
5、Dueling-DQN
6、PG (Policy Gradient)
7、AC (Actor-Critic)
8、PPO (Proximal Policy Optimization)
9、DDPG (Deep Deterministic Policy Gradient)
10、TD3 (Twin Delayed DDPG)
11、SAC (Soft Actor-Critic)
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明