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05/27/2023
Online Nonstochastic Model-Free Reinforcement Learning
In this work, we explore robust model-free reinforcement learning algori...
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02/15/2023
MAGIC: Manipulating Avatars and Gestures to Improve Remote Collaboration
Remote collaborative work has become pervasive in many settings, from en...
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12/12/2022
Variance-Reduced Conservative Policy Iteration
We study the sample complexity of reducing reinforcement learning to a s...
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11/21/2022
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret
We consider the fundamental problem of online control of a linear dynami...
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11/17/2022
Introduction to Online Nonstochastic Control
This text presents an introduction to an emerging paradigm in control of...
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11/19/2021
Machine Learning for Mechanical Ventilation Control (Extended Abstract)
Mechanical ventilation is one of the most widely used therapies in the I...
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08/22/2021
A Boosting Approach to Reinforcement Learning
We study efficient algorithms for reinforcement learning in Markov decis...
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07/13/2021
SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance
We present SurgeonAssist-Net: a lightweight framework making action-and-...
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06/09/2021
Interactive Modelling of Volumetric Musculoskeletal Anatomy
We present a new approach for modelling musculoskeletal anatomy. Unlike ...
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05/03/2021
Thinking Outside the Lab: VR Size Depth Perception in the Wild
Size and distance perception in Virtual Reality (VR) have been widely st...
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02/26/2021
A Regret Minimization Approach to Iterative Learning Control
We consider the setting of iterative learning control, or model-based po...
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02/19/2021
Deluca – A Differentiable Control Library: Environments, Methods, and Benchmarking
We present an open-source library of natively differentiable physics and...
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02/18/2021
Boosting for Online Convex Optimization
We consider the decision-making framework of online convex optimization ...
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02/12/2021
Machine Learning for Mechanical Ventilation Control
We consider the problem of controlling an invasive mechanical ventilator...
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09/18/2020
Mid-Air Drawing of Curves on 3D Surfaces in AR/VR
Complex 3D curves can be created by directly drawing mid-air in immersiv...
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05/01/2020
RigNet: Neural Rigging for Articulated Characters
We present RigNet, an end-to-end automated method for producing animatio...
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04/30/2020
Levitating Rigid Objects with Hidden Support Structures
We propose a novel algorithm to efficiently generate hidden structures t...
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02/06/2020
No-Regret Prediction in Marginally Stable Systems
We consider the problem of online prediction in a marginally stable line...
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01/25/2020
Improper Learning for Non-Stochastic Control
We consider the problem of controlling a possibly unknown linear dynamic...
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11/27/2019
The Nonstochastic Control Problem
We consider the problem of controlling an unknown linear dynamical syste...
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09/11/2019
Logarithmic Regret for Online Control
We study optimal regret bounds for control in linear dynamical systems u...
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08/22/2019
Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets
We present a learning method for predicting animation skeletons for inpu...
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07/23/2019
A system for efficient 3D printed stop-motion face animation
Computer animation in conjunction with 3D printing has the potential to ...
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02/23/2019
Online Control with Adversarial Disturbances
We study the control of a linear dynamical system with adversarial distu...
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12/06/2018
Provably Efficient Maximum Entropy Exploration
Suppose an agent is in a (possibly unknown) Markov decision process (MDP...
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10/01/2018
Designing Volumetric Truss Structures
We present the first algorithm for designing volumetric Michell Trusses....
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06/08/2018
The Case for Full-Matrix Adaptive Regularization
Adaptive regularization methods come in diagonal and full-matrix variant...
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06/07/2018
Color Sails: Discrete-Continuous Palettes for Deep Color Exploration
We present color sails, a discrete-continuous color gamut representation...
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05/24/2018
VisemeNet: Audio-Driven Animator-Centric Speech Animation
We present a novel deep-learning based approach to producing animator-ce...
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02/12/2018
Spectral Filtering for General Linear Dynamical Systems
We give a polynomial-time algorithm for learning latent-state linear dyn...
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11/02/2017
Learning Linear Dynamical Systems via Spectral Filtering
We present an efficient and practical algorithm for the online predictio...
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07/31/2017
Efficient Regret Minimization in Non-Convex Games
We consider regret minimization in repeated games with non-convex loss f...
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01/30/2017
Dynamic Task Allocation for Crowdsourcing Settings
We consider the problem of optimal budget allocation for crowdsourcing p...
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01/27/2017