In this work, we first formulate the problem of goal-conditioned robotic...
One key challenge for multi-task Reinforcement learning (RL) in practice...
Motion forecasting in highly interactive scenarios is a challenging prob...
Gradient-based approaches in reinforcement learning (RL) have achieved
t...
Humans can leverage hierarchical structures to split a task into sub-tas...
The gesture-determined-dynamic function (GDDF) offers an effective way t...