116 citations · 116 across the 1 of their papers we have counts for
3 papers
cs.LG2017★ 116 cited
Meta Learning Shared Hierarchies
Kevin Frans, Jonathan Ho, Xi Chen +2
We develop a metalearning approach for learning hierarchically structured policies, improving sample efficiency on unseen tasks through the use of shared primitives---policies that…
cs.LG2016
Generative Adversarial Imitation Learning
Jonathan Ho, Stefano Ermon
Consider learning a policy from example expert behavior, without interaction with the expert or access to reinforcement signal. One approach is to recover the expert's cost functio…
cs.LG2016
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
In imitation learning, an agent learns how to behave in an environment with an unknown cost function by mimicking expert demonstrations. Existing imitation learning algorithms typi…