#imitation learning
6 resultsAgile Autonomous Driving using End-to-End Deep Imitation Learning
Yunpeng Pan, Ching-An Cheng, Kamil Saigol +4
The paper introduces an end-to-end deep imitation learning system that enables high-speed off‑road autonomous driving using only low‑cost sensors, by training a neural network to m…
Learning Vision-based Flight in Drone Swarms by Imitation
Fabian Schilling, Julien Lecoeur, Fabrizio Schiano +1
The paper introduces a fully decentralized, vision‑only control method for drone swarms using imitation learning, where a small CNN maps raw omnidirectional images to 3‑D velocity…
Early Fusion for Goal Directed Robotic Vision
Aaron Walsman, Yonatan Bisk, Saadia Gabriel +4
The paper proposes EarlyFusion vision models that condition on a robot's goal to create task‑specific visual representations, enabling faster learning, lower parameter use, and gre…
Discovering hierarchies using Imitation Learning from hierarchy aware policies
Ameet Deshpande, Harshavardhan Kamarthi, Balaraman Ravindran
The paper examines options learned by the Deep Discovery of Options (DDO) algorithm from expert demonstrations, identifies that these options often terminate too early, and propose…
Flying through a narrow gap using neural network: an end-to-end planning and control approach
Jiarong Lin, Luqi Wang, Fei Gao +2
The paper introduces an end‑to‑end neural network that directly maps a drone’s perception of a tilted narrow gap to thrust and attitude commands, using imitation learning followed…
DeepMoTIon: Learning to Navigate Like Humans
Mahmoud Hamandi, Mike D'Arcy, Pooyan Fazli
The paper introduces DeepMoTIon, a deep learning system that enables robots to navigate crowds by imitating human motion, using LiDAR data to predict human-like velocities and reac…