David Ha • 11/12/2017

Evolving Stable Strategies

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This technical article details how Evolution Strategies (ES) can be used for reinforcement learning, focusing on optimizing neural network parameters without gradients. It compares ES to traditional RL, provides pseudocode for agent rollouts, and discusses modeling deterministic and stochastic policies with feed-forward networks to achieve stable outcomes.

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#optimization #Neural Networks #Reinforcement Learning
Evolving Stable Strategies

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