4 citations · 11 across the 17 of their papers we have counts for
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cs.LG2019
Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé, Yichuan Charlie Tang, Jian Zhang +1
In this work, we introduce a new method for imitation learning from video demonstrations. Our method, Relational Mimic (RM), improves on previous visual imitation learning methods…
cs.LG2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges
Jason Ramapuram, Russ Webb
Modern neural network training relies on piece-wise (sub-)differentiable functions in order to use backpropagation to update model parameters. In this work, we introduce a novel me…