Practical Visual Deep Imitation Learning via Task-Level Domain Consistency
Mohi Khansari,Daniel Ho,Yuqing Du,Armando Fuentes,Matthew Bennice,Nicolas Sievers,Sean Kirmani,Yunfei Bai,Eric Jang,Mohi Khansari,Daniel Ho,Yuqing Du,Armando Fuentes,Matthew Bennice,Nicolas Sievers,Sean Kirmani,Yunfei Bai,Eric Jang
Recent work in visual end-to-end learning for robotics has shown the promise of imitation learning across a variety of tasks. Such approaches are however expensive both because they require large amounts of real world data and rely on time-consuming real-world evaluations to identify the best model for deployment. These challenges can be mitigated by using simulation evaluations to identify high p...
