Reinforcement learning (RL) algorithms face two distinct challenges: lea...
Embodied AI has shown promising results on an abundance of robotic tasks...
Many problems in RL, such as meta RL, robust RL, and generalization in R...
Teamwork is a set of interrelated reasoning, actions and behaviors of te...
Imitation learning is well-suited for robotic tasks where it is difficul...
Exploration-exploitation dilemma has long been a crucial issue in
reinfo...
We focus on an important yet challenging problem: using a 2D deep networ...
Integrating multi-phase information is an effective way of boosting visu...