GitHub / Capsar / interpretable-gail
Repository for Research Project about Using Decision Trees produced by Generative Adversarial Imitation Learning to give insight into black box Reinforcement Learning models.
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Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 25.7 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: about 2 years ago
Pushed at: about 3 years ago
Last synced at: 9 months ago
Topics: decision-trees, gail, generative-adversarial-network, imitation-learning, interpretability, keras, machine-learning, python, scikit-learn, tensorflow, tensorforce