7 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning
Keuntaek Lee, David Isele, Evangelos A. Theodorou +1
It can be difficult to autonomously produce driver behavior so that it appears natural to other traffic participants. Through Inverse Reinforcement Learning (IRL), we can automate…
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning
Keuntaek Lee, Bogdan Vlahov, Jason Gibson +2
In this work, we present a method for obtaining an implicit objective function for vision-based navigation. The proposed methodology relies on Imitation Learning, Model Predictive…
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC
Keuntaek Lee, Jason Gibson, Evangelos A. Theodorou
Recently, vision-based control has gained traction by leveraging the power of machine learning. In this work, we couple a model predictive control (MPC) framework to a visual pipel…
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies
Keuntaek Lee, Ziyi Wang, Bogdan I. Vlahov +2
This work presents a novel ensemble of Bayesian Neural Networks (BNNs) for control of safety-critical systems. Decision making for safety-critical systems is challenging due to per…