Imitation learning algorithms learn viable policies by imitating an expert’s behavior when reward signals are not available. Generative Adversarial Imitation Learning (GAIL) is a state-of-the-art algorithm for learning policies when the expert’s behavior is available as a fixed set of trajectories...
Authors
Anirban Santara
Abhishek Naik
Prof. Balaraman Ravindran
Dipankar Das
Dheevatsa Mudigere
Sasikanth Avancha
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