We present a deep learning method for composite and task-driven motion
c...
Real-time, accurate prediction of human steering behaviors has wide
appl...
Predicting pedestrian movement is critical for human behavior analysis a...
We present a simple and intuitive approach for interactive control of
ph...
Despite significant advancements in the field of multi-agent navigation,...
Learning controls in high-dimensional continuous action spaces, such as
...
This paper proposes an end-to-end deep reinforcement learning approach f...
Chinese keyword spotting is a challenging task as there is no visual bla...
The uncertainty and variability of underwater environment propose the re...