imitation provides open-source implementations of imitation and reward
l...
Imitation learning often needs a large demonstration set in order to han...
Inverse Reinforcement Learning (IRL) algorithms infer a reward function ...
The objective of many real-world tasks is complex and difficult to
proce...
Imitation Learning (IL) algorithms are typically evaluated in the same
e...
In this paper, we discuss the learning of generalised policies for
proba...
Adversarial learning methods have been proposed for a wide range of
appl...
In this paper, we introduce the Action Schema Network (ASNet): a neural
...
Human pose forecasting is an important problem in computer vision with
a...