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imitation: Clean Imitation Learning Implementations

22 November 2022
Adam Gleave
Mohammad Taufeeque
Juan Rocamonde
Erik Jenner
Steven H. Wang
Sam Toyer
M. Ernestus
Nora Belrose
Scott Emmons
Stuart J. Russell
    MLAU
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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 https://github.com/HumanCompatibleAI/imitation

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