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Imitation and Supervised Learning of Compliance for Robotic Assembly

Nov 20, 2021
Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski

* 8 pages, 7 figures 

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Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models

May 02, 2021
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres

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Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

Apr 02, 2021
Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez

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Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application

Jan 28, 2021
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres

* Submitted to IEEE Transactions on Robotics 

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Model-based Policy Search for Partially Measurable Systems

Jan 21, 2021
Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres

* Accepted to 3rd Robot Learning Workshop: Grounding Machine Learning Development in the Real World (NeurIPS 2020) 

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Towards Human-Level Learning of Complex Physical Puzzles

Nov 14, 2020
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum

* 10 pages, 7 figures 

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Deep Reactive Planning in Dynamic Environments

Nov 05, 2020
Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski

* 15 pages, 5 figures. Accepted at CoRL 2020 

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Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks

Jul 22, 2020
Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski

* Published at a RSS20 workshop 

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Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?

Mar 03, 2020
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski

* 11 pages, 10 figures 

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Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements

Feb 25, 2020
Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski

* Accepted at RA-L 

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Multi-label Prediction in Time Series Data using Deep Neural Networks

Jan 27, 2020
Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski

* Accepted by IJPHM. Presented at PHM19 

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Local Policy Optimization for Trajectory-Centric Reinforcement Learning

Jan 22, 2020
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski

* ICRA 2020 

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Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control

Oct 23, 2019
Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh Jha, Daniel Nikovski, George Konidaris, Stefanie Tellex

* Preprint. Currently under review. * denotes equal contribution 

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Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning

Mar 13, 2019
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama

* 8 pages, 6 figures 

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Learning Dynamical Demand Response Model in Real-Time Pricing Program

Dec 22, 2018
Hanchen Xu, Hongbo Sun, Daniel Nikovski, Kitamura Shoichi, Kazuyuki Mori

* Accepted to IEEE ISGT NA 2019 

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Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze

Sep 18, 2018
Diego Romeres, Devesh Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski

* 7 pages including the references, 5 figures. Changed title, improved the structure of the article and the images 

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Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics

Sep 17, 2018
Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh Jha, Diego Romeres, Daniel Nikovski

* 7 pages 

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Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control

Jun 13, 2018
Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski

* ICML2018 

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Submodular Function Maximization for Group Elevator Scheduling

Jun 28, 2017
Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski

* 10 pages; 2017 International Conference on Automated Planning and Scheduling (ICAPS) 

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