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Learning Markov State Abstractions for Deep Reinforcement Learning


Jun 08, 2021
Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris

* Code available at https://github.com/camall3n/markov-state-abstractions 

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Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter


Jun 07, 2021
Matt Corsaro, Stefanie Tellex, George Konidaris

* IROS 2021 submission 

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Bootstrapping Motor Skill Learning with Motion Planning


Jan 12, 2021
Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Konidaris


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Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains


Oct 17, 2020
Nishanth Kumar, Michael Fishman, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris


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Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion


Jun 04, 2020
Josh Roy, George Konidaris


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Multi-Resolution POMDP Planning for Multi-Object Search in 3D


May 07, 2020
Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex

* 13 pages, 5 figures, 4 tables 

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Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic


Apr 28, 2020
Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

* Code available at https://github.com/camall3n/skills-for-planning 

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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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A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms


Jul 11, 2019
Oliver Kroemer, Scott Niekum, George Konidaris


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Grounding Language Attributes to Objects using Bayesian Eigenobjects


May 30, 2019
Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Konidaris


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Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors


May 28, 2019
Benjamin Burchfiel, George Konidaris


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Learning Portable Representations for High-Level Planning


May 28, 2019
Steven James, Benjamin Rosman, George Konidaris


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Discovering Options for Exploration by Minimizing Cover Time


Mar 16, 2019
Yuu Jinnai, Jee Won Park, David Abel, George Konidaris


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Learning Multi-Level Hierarchies with Hindsight


Mar 01, 2019
Andrew Levy, George Konidaris, Robert Platt, Kate Saenko

* ICLR 2019 Accepted Paper 

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Finding Options that Minimize Planning Time


Oct 16, 2018
Yuu Jinnai, David Abel, Michael Littman, George Konidaris


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Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision


Jul 27, 2018
Benjamin Burchfiel, George Konidaris

* To appear in the International Conference on Intelligent Robots (IROS) - Madrid, 2018 

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Scanning the Internet for ROS: A View of Security in Robotics Research


Jul 23, 2018
Nicholas DeMarinis, Stefanie Tellex, Vasileios Kemerlis, George Konidaris, Rodrigo Fonseca

* 10 pages 

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Active Exploration for Learning Symbolic Representations


Nov 01, 2017
Garrett Andersen, George Konidaris


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Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes


Oct 31, 2017
Taylor Killian, Samuel Daulton, George Konidaris, Finale Doshi-Velez

* To appear at NIPS 2017, selected for an oral presentation. 17 pages (incl references and appendix). Example code can be found at http://github.com/dtak/hip-mdp-public 

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Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted Displays


Aug 11, 2017
Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Konidaris, Stefanie Tellex


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Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes


Dec 01, 2016
Taylor Killian, George Konidaris, Finale Doshi-Velez

* Brief abstract for poster submission to Machine Learning for Healthcare workshop at NIPS 2016 

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Reinforcement Learning with Parameterized Actions


Nov 26, 2015
Warwick Masson, Pravesh Ranchod, George Konidaris

* Accepted for AAAI 2016 

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Constructing Abstraction Hierarchies Using a Skill-Symbol Loop


Sep 25, 2015
George Konidaris


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Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations


Aug 15, 2013
Finale Doshi-Velez, George Konidaris


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Learning Parameterized Skills


Sep 03, 2012
Bruno Da Silva, George Konidaris, Andrew Barto

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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