46 citations · 48 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Masked Trajectory Models for Prediction, Representation, and Control
Philipp Wu, Arjun Majumdar, Kevin Stone +4
We introduce Masked Trajectory Models (MTM) as a generic abstraction for sequential decision making. MTM takes a trajectory, such as a state-action sequence, and aims to reconstruc…
cs.RO2022★ 46 cited
DayDreamer: World Models for Physical Robot Learning
Philipp Wu, Alejandro Escontrela, Danijar Hafner +2
To solve tasks in complex environments, robots need to learn from experience. Deep reinforcement learning is a common approach to robot learning but requires a large amount of tria…