State-Only Imitation Learning for Dexterous Manipulation
Ilija Radosavovic,Xiaolong Wang,Lerrel Pinto,Jitendra Malik,Ilija Radosavovic,Xiaolong Wang,Lerrel Pinto,Jitendra Malik
Modern model-free reinforcement learning methods have recently demonstrated impressive results on a number of problems. However, complex domains like dexterous manipulation remain a challenge due to the high sample complexity. To address this, current approaches employ expert demonstrations in the form of state-action pairs, which are difficult to obtain for real-world settings such as learning fr...
