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imitation: Clean Imitation Learning Implementations

2022-11-22 03:11:29
Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, Stuart Russell
arXiv_AI
   
Abstract

imitation provides open-source implementations of imitation and reward learning algorithms in PyTorch. We include three inverse reinforcement learning (IRL) algorithms, three imitation learning algorithms and a preference comparison algorithm. The implementations have been benchmarked against previous results, and automated tests cover 98% of the code. Moreover, the algorithms are implemented in a modular fashion, making it simple to develop novel algorithms in the framework. Our source code, including documentation and examples, is available at this https URL

Abstract (translated)

URL

https://arxiv.org/abs/2211.11972

PDF

https://arxiv.org/pdf/2211.11972.pdf

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