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papers

Publications (28)

cs.RO2017

Mathematical Models of Adaptation in Human-Robot Collaboration

Stefanos Nikolaidis, Jodi Forlizzi, David Hsu +2

cs.AI2012

CAPIR: Collaborative Action Planning with Intention Recognition

Truong-Huy Dinh Nguyen, David Hsu, Wee-Sun Lee +4

cs.RO2018

Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction

Mohit Shridhar, David Hsu

q-bio.QM2007

An algorithm for detecting oscillatory behavior in discretized data: the damped-oscillator oscillator detector

David Hsu, Murielle Hsu, He Huang +1

cs.RO2019

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Panpan Cai, Yuanfu Luo, Aseem Saxena +2

cs.LG2019

Factored Contextual Policy Search with Bayesian Optimization

Robert Pinsler, Peter Karkus, Andras Kupcsik +2

cs.AI2016

POMDP-lite for Robust Robot Planning under Uncertainty

Min Chen, Emilio Frazzoli, David Hsu +1

cs.LG2019

Factored Contextual Policy Search with Bayesian Optimization

Peter Karkus, Andras Kupcsik, David Hsu +1

cs.RO2017

Human-Robot Mutual Adaptation in Shared Autonomy

Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu +1

cs.AI2018

HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty

Panpan Cai, Yuanfu Luo, David Hsu +1

cs.AI2017

DESPOT: Online POMDP Planning with Regularization

Nan Ye, Adhiraj Somani, David Hsu +1

cs.RO2017

Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction

Mohit Shridhar, David Hsu

cs.RO2016

Configuration Lattices for Planar Contact Manipulation Under Uncertainty

Michael C. Koval, David Hsu, Nancy S. Pollard +1

cs.RO2018

PORCA: Modeling and Planning for Autonomous Driving among Many Pedestrians

Yuanfu Luo, Panpan Cai, Aniket Bera +3

cs.AI2017

QMDP-Net: Deep Learning for Planning under Partial Observability

Peter Karkus, David Hsu, Wee Sun Lee

q-bio.NC2007

A simple spontaneously active Hebbian learning model: homeostasis of activity and connectivity, and consequences for learning and epileptogenesis

David Hsu, Aonan Tang, Murielle Hsu +1

q-bio.NC2009

Zwanzig-Mori projection operators and EEG dynamics: deriving a simple equation of motion

David Hsu, Murielle Hsu

cs.LG2012

Monte Carlo Bayesian Reinforcement Learning

Yi Wang, Kok Sung Won, David Hsu +1

cs.MM2013

Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach

Xinxi Wang, Yi Wang, David Hsu +1

cs.RO2016

Learning Dynamic Robot-to-Human Object Handover from Human Feedback

Andras Kupcsik, David Hsu, Wee Sun Lee

q-bio.NC2013

Characterization of high frequency oscillations and EEG frequency spectra using the damped-oscillator oscillator detector (DOOD)

David Hsu, Murielle Hsu, Heidi L. Grabenstatter +2

cs.LG2019

Differentiable Algorithm Networks for Composable Robot Learning

Peter Karkus, Xiao Ma, David Hsu +3

cs.RO2019

Guided Exploration of Human Intentions for Human-Robot Interaction

Min Chen, David Hsu, Wee Sun Lee

nlin.AO2009

A general approach for analyzing baseline power spectral densities: Zwanzig-Mori projection operators and the generalized Langevin equation

David Hsu, Murielle Hsu, John M. Beggs

cs.AI2017

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

Wei Gao, David Hsu, Wee Sun Lee +2

cs.RO2018

Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning

Min Chen, Stefanos Nikolaidis, Harold Soh +2

cs.RO2018

Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation

Peter Karkus, David Hsu, Wee Sun Lee

cs.RO2018

Particle Filter Networks with Application to Visual Localization

Peter Karkus, David Hsu, Wee Sun Lee