Vision-based tactile sensors have gained extensive attention in the robo...
Decision Transformer (DT) is a recently proposed architecture for
Reinfo...
Robotic manipulation stands as a largely unsolved problem despite signif...
Robotic manipulation stands as a largely unsolved problem despite signif...
Solving the Hamilton-Jacobi-Bellman equation is important in many domain...
Trajectory optimization and model predictive control are essential techn...
Across machine learning, the use of curricula has shown strong empirical...
Despite their abundance in robotics and nature, underactuated systems re...
Sample-efficient exploration is crucial not only for discovering rewardi...
Generalization and adaptation of learned skills to novel situations is a...
Camera-based tactile sensors are emerging as a promising inexpensive sol...
Learning optimal feedback control laws capable of executing optimal
traj...
An optimal feedback controller for a given Markov decision process (MDP)...
With the increasing pace of automation, modern robotic systems need to a...
To ensure stability of learning, state-of-the-art generalized policy
ite...