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11/16/2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning
We present a hierarchical planning and control framework that enables an...
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09/24/2019
Informative Planning of Mobile Sensor Networks in GPS-Denied Environments
This paper considers the problem to plan mobile sensor networks for targ...
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03/14/2019
Online Gaussian Process State-Space Models: Learning and Planning for Partially Observable Dynamical Systems
Gaussian process state-space model (GPSSM) is a probabilistic dynamical ...
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07/29/2018
A Distributed ADMM Approach to Informative Trajectory Planning for Multi-Target Tracking
This paper presents a distributed optimization method for informative tr...
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07/05/2018
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems
We present a representation learning algorithm that learns a low-dimensi...
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07/05/2018