Unsupervised Learning of State Representations for Multiple Tasks

By Antonin Raffin, Sebastian Höfer, Rico Jonschkowski, Oliver Brock, Freek Stulp. 2017

9 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sergey Levine
2. Yoshua Bengio
3. Chelsea Finn
4. Pieter Abbeel
5. Trevor Darrell
6. Ruslan Salakhutdinov
7. Fei Ye
8. Abhinav Kumar Gupta

Citations in the corpus

• The limits and potentials of deep learning for robotics (2018, background): “Recent methods have shown that this separation can be performed automatically [47].”
• DARLA: Improving Zero-Shot Transfer in Reinforcement Learning (2017, background): “Past attempts to build RL agents with strong domain adaptation performance highlighted the importance of learning good internal representations of raw observations (Finn et al., 2015; Raffin et al., 2017; Pan & Yang, 2009; Barreto et al., 2016; Littman et al., 2001).”