imitation: Clean Imitation Learning Implementations

Gleave, Adam, Taufeeque, Mohammad, Rocamonde, Juan, Jenner, Erik, Wang, Steven H., Toyer, Sam, Ernestus, Maximilian, Belrose, Nora, Emmons, Scott, Russell, Stuart

arXiv.org Artificial Intelligence 

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.

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