-
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Reinforcement learning (RL) has achieved impressive performance in a var...
10/26/2020 ∙ by Anurag Ajay, et al. ∙
0
∙
share
read it
-
Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners
The ability to simulate and predict the outcome of contacts is paramount...
09/08/2020 ∙ by Nima Fazeli, et al. ∙
0
∙
share
read it
-
Combining Physical Simulators and Object-Based Networks for Control
Physics engines play an important role in robot planning and control; ho...
04/13/2019 ∙ by Anurag Ajay, et al. ∙
0
∙
share
read it
-
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing
An efficient, generalizable physical simulator with universal uncertaint...
08/09/2018 ∙ by Anurag Ajay, et al. ∙
0
∙
share
read it
