/BenchNeuralNework

Evaluate Feature extraction in the reinforcement learning, with environements from OpenAi gym, and policies from stable-baselines3

Primary LanguageJupyter NotebookMIT LicenseMIT

In this project, we evaluate feature extraction in the RL filed

report : https://github.com/clement-chupin/BenchNeuralNework/blob/master/documentation/report/Rapport_projet_M2_CHUPIN_Clement.pdf

Feature extraction by activation function

We will project our input into activation function, and evaluate the gains for our RL agent

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Result of the feature extraction

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Finaly, we can evaluate almost everything in terms of Feature Extraction

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To show the result, we can plot environements and policies on the same grid

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