Reinforcement learning is able to solve complex sequential decision-maki...
We study the training performance of ROS local planners based on
Reinfor...
Offline reinforcement learning, by learning from a fixed dataset, makes ...
In many control problems that include vision, optimal controls can be
in...
We consider learning to play multiplayer imperfect-information games wit...
Current robot platforms available for research are either very expensive...
We consider the problem of learning to drive low-cost small scale cars u...
Model-based reinforcement learning could enable sample-efficient learnin...
Trajectory optimization with learned dynamics models can often suffer fr...
We consider the problem of semi-supervised few-shot classification (when...
We propose a recurrent extension of the Ladder networks whose structure ...