356 citations · 535 across the 12 of their papers we have counts for
Showing 2020 · cs.ROShow all
3 papers · 2 filters
cs.RO2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Brian Ichter, Pierre Sermanet, Corey Lynch
Long-horizon planning in realistic environments requires the ability to reason over sequential tasks in high-dimensional state spaces with complex dynamics. Classical motion planni…
cs.RO2020★ 2 cited
Learning to Play by Imitating Humans
Rostam Dinyari, Pierre Sermanet, Corey Lynch
Acquiring multiple skills has commonly involved collecting a large number of expert demonstrations per task or engineering custom reward functions. Recently it has been shown that…
cs.RO2020
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch, Pierre Sermanet
Natural language is perhaps the most flexible and intuitive way for humans to communicate tasks to a robot. Prior work in imitation learning typically requires each task be specifi…