For 3D object manipulation, methods that build an explicit 3D representa...
Meta reinforcement learning (meta-RL) aims to learn a policy solving a s...
The planning of whole-body motion and step time for bipedal locomotion i...
The Predictive Information is the mutual information between the past an...
This paper proposes a method for learning a trajectory-conditioned polic...
This paper explores a simple regularizer for reinforcement learning by
p...
This paper investigates whether learning contingency-awareness and
contr...
This paper proposes Self-Imitation Learning (SIL), a simple off-policy
a...
Deep neural networks can model images with rich latent representations, ...
Associating image regions with text queries has been recently explored a...
Understanding the 3D world is a fundamental problem in computer vision.
...