Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations

no code implementations • 24 Sep 2022 • Letian Chen, Sravan Jayanthi, Rohan Paleja, Daniel Martin, Viacheslav Zakharov, Matthew Gombolay

Learning from Demonstration (LfD) approaches empower end-users to teach robots novel tasks via demonstrations of the desired behaviors, democratizing access to robotics.

Continuous Control reinforcement-learning +1

Perceptual Attention-based Predictive Control

no code implementations • 26 Apr 2019 • Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov, Evangelos A. Theodorou

The proposed information processing architecture is used to support a perceptual attention-based predictive control algorithm that leverages model predictive control (MPC), convolutional neural networks (CNNs), and uncertainty quantification methods.

Model Predictive Control Uncertainty Quantification +1