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Found 4 papers, 1 papers with code
Generalized Regression with Conditional GANs
Regression is typically treated as a curve-fitting process where the goal is to fit a prediction function to data.
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning
Given a dataset of expert agent interactions with an environment of interest, a viable method to extract an effective agent policy is to estimate the maximum likelihood policy indicated by this data.
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning
While Adversarial Imitation Learning (AIL) algorithms have recently led to state-of-the-art results on various imitation learning benchmarks, it is unclear as to what impact various design decisions have on performance.
Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch
Learning from demonstrations in the wild (e. g. YouTube videos) is a tantalizing goal in imitation learning.
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