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进化策略可替代强化学习，性能相当且更简便

Primary sourceOpenAI Blog
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Why we picked it

ES作为RL替代方案，降低训练复杂度，适合大规模并行实验，对AI工程师优化策略有启发价值。

OpenAI发现，传统进化策略（ES）在现代强化学习基准测试中（如Atari/MuJoCo）表现与标准RL相当，同时解决RL的诸多不便。ES无需反向传播，无需值函数近似，且易于并行，为RL研究者提供新的优化路径。

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This report is categorized under AITOP's "Models" desk. Key entities and technical topics under continuous tracking include evolution-strategies, reinforcement-learning, optimization, openai.

Primary source verification: published directly by OpenAI Blog with first-party authority.

#evolution-strategies#reinforcement-learning#optimization#openai#scalable

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