Deep reinforcement learning (RL) excels in various control tasks, yet th...
Reinforcement Learning (RL) algorithms have shown tremendous success in
...
Due to the trial-and-error nature, it is typically challenging to apply ...
Trajectory generation in confined environment is crucial for wide adopti...
Despite the tremendous success of Reinforcement Learning (RL) algorithms...
Safety is a critical hurdle that limits the application of deep reinforc...
Safety is one of the biggest concerns to applying reinforcement learning...
Control systems often need to satisfy strict safety requirements. Safety...
Model mismatches prevail in real-world applications. Hence it is importa...
Tolerance estimation problems are prevailing in engineering applications...
Applying intelligent robot arms in dynamic uncertain environments (i.e.,...
Human motion prediction is non-trivial in modern industrial settings.
Ac...
Human motion prediction is an important component to facilitate human ro...