Structured Control Nets for Deep Reinforcement Learning
@article{Srouji2018StructuredCN, title={Structured Control Nets for Deep Reinforcement Learning}, author={Mario Srouji and Jian Zhang and R. Salakhutdinov}, journal={ArXiv}, year={2018}, volume={abs/1802.08311} }
In recent years, Deep Reinforcement Learning has made impressive advances in solving several important benchmark problems for sequential decision making. Many control applications use a generic multilayer perceptron (MLP) for non-vision parts of the policy network. In this work, we propose a new neural network architecture for the policy network representation that is simple yet effective. The proposed Structured Control Net (SCN) splits the generic MLP into two separate sub-modules: a… CONTINUE READING
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