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Deep Reinforcement Learning in Action - 第 78 頁 - Google 圖書結果

Tensor ([a for (s1,a,r,s2,d) in minibatch]) reward_batch = torch. ... loss.backward() losses.append(loss.item()) optimizer.step() If the game is over, ...

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