2 papers
cs.LG2018
Safe end-to-end imitation learning for model predictive control
Keuntaek Lee, Kamil Saigol, Evangelos A. Theodorou
We propose the use of Bayesian networks, which provide both a mean value and an uncertainty estimate as output, to enhance the safety of learned control policies under circumstance…
cs.RO2017
Agile Autonomous Driving using End-to-End Deep Imitation Learning
Yunpeng Pan, Ching-An Cheng, Kamil Saigol +4
We present an end-to-end imitation learning system for agile, off-road autonomous driving using only low-cost sensors. By imitating a model predictive controller equipped with adva…