most citedGeneralization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight

11 citations · 14 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2021★ 3 cited

Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots

Katie Kang, Gregory Kahn, Sergey Levine

Deep reinforcement learning algorithms require large and diverse datasets in order to learn successful policies for perception-based mobile navigation. However, gathering such data…

cs.LG2019★ 11 cited

Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight

Katie Kang, Suneel Belkhale, Gregory Kahn +2

Deep reinforcement learning provides a promising approach for vision-based control of real-world robots. However, the generalization of such models depends critically on the quanti…