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github.io
Deep Deterministic Policy Gradient (DDPG) (Tensorflow) - 强化学习 Reinforcement Learning | 莫烦Python
一句话概括 DDPG: Google DeepMind 提出的一种使用 Actor Critic 结构, 但是输出的不是行为的概率, 而是具体的行为, 用于连续动作 (continuous action) 的预测. DDPG 结合了之前获得成功的 DQN 结构, 提高了 Actor Critic 的稳定性和收敛性. 因为 DDPG 和 DQN 还有 Actor Critic 很相关, 所以 ...
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