Humans perform everyday tasks using a combination of locomotion and
mani...
Recent advances in deep reinforcement learning (RL) based techniques com...
Reinforcement Learning (RL) has seen many recent successes for quadruped...
Model-free reinforcement learning (RL) for legged locomotion commonly re...
Understanding the gap between simulation andreality is critical for
rein...
We present a hierarchical framework that combines model-based control an...
Humans are highly adept at walking in environments with foot placement
c...
Correspondence across dynamical systems can lend us better tools for lea...
Deep reinforcement learning (DRL) is a promising approach for developing...
Bipedal locomotion skills are challenging to develop. Control strategies...