Verified65% confidenceFactExact time
Off-policy algorithms (such as SAC and DQN) can be trained on data collected by any policy, are capable of maintaining a replay buffer of millions of experiences for repeated learning, and have higher sample efficiency than on-policy methods.
3
Sources
65%
Confidence
Long-term
Relevance
8/9/2026
First Seen
Sources
强化学习能打通无伤Boss战吗？PPO算法实战分析
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