首页 pytorch实现的在线强化学习11种常见算法代码

pytorch实现的在线强化学习11种常见算法代码

上传者： 45616285 | 上传时间： 2024-03-05 21:19:26 | 文件大小： 6.68MB | 文件类型： ZIP
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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