George Dimitri Konidaris

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 67

Top Venues

Publications

Ben Abbatematteo, Eric Rosen, Skye Thompson, Tuluhan Akbulut, Sreehari Rammohan, George Dimitri Konidaris
Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills. ICRA (2024)
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR (2023)
Akhil Bagaria, Ben Abbatematteo, Omer Gottesman, Matt Corsaro, Sreehari Rammohan, George Dimitri Konidaris
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. NeurIPS (2023)
Adam Pacheck, Steven D. James, George Dimitri Konidaris, Hadas Kress-Gazit
Automatic encoding and repair of reactive high-level tasks with learned abstract representations. Int. J. Robotics Res. 42 (4-5) (2023)
Saket Tiwari, Omer Gottesman, George Dimitri Konidaris
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces. CoRR (2023)
Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael L. Littman
Meta-Learning Transferable Parameterized Skills. CoRR (2022)
Shangqun Yu, Sreehari Rammohan, Kaiyu Zheng, George Dimitri Konidaris
Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study. CoRR (2022)
Steven D. James, Benjamin Rosman, George Dimitri Konidaris
Learning Abstract and Transferable Representations for Planning. CoRR (2022)
Barrett Ames, Jeremy Morgan, George Dimitri Konidaris
IKFlow: Generating Diverse Inverse Kinematics Solutions. IEEE Robotics Autom. Lett. 7 (3) (2022)
Haotian Fu, Shangqun Yu, Michael L. Littman, George Dimitri Konidaris
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. CoRR (2022)
Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Dimitri Konidaris, Stefanie Tellex
Towards Optimal Correlational Object Search. CoRR (2021)
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Dimitri Konidaris, Daniel Ritchie
Learning to Infer Kinematic Hierarchies for Novel Object Instances. CoRR (2021)
Kavosh Asadi, Neev Parikh, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman
Deep Radial-Basis Value Functions for Continuous Control. AAAI (2021)
Josh Roy, George Dimitri Konidaris
Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion. AAAI (2021)
Matt Corsaro, Stefanie Tellex, George Dimitri Konidaris
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. IROS (2021)
Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris
Bootstrapping Motor Skill Learning with Motion Planning. CoRR (2021)
Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris
Bootstrapping Motor Skill Learning with Motion Planning. IROS (2021)
Kavosh Asadi, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman
Deep RBF Value Functions for Continuous Control. CoRR (2020)
Sean Murray, George Dimitri Konidaris, Daniel J. Sorin
Roadmap Subsampling for Changing Environments. IROS (2020)
Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris
Exploration in Reinforcement Learning with Deep Covering Options. ICLR (2020)
Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris
Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR (2019)
Craig J. Bester, Steven D. James, George Dimitri Konidaris
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. CoRR (2019)
Samir Yitzhak Gadre, Eric Rosen, Gary Chien, Elizabeth Phillips, Stefanie Tellex, George Dimitri Konidaris
End-User Robot Programming Using Mixed Reality. ICRA (2019)
Steven D. James, Benjamin Rosman, George Dimitri Konidaris
Learning Portable Representations for High-Level Planning. CoRR (2019)
Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex
Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays. Int. J. Robotics Res. 38 (12-13) (2019)
Oliver Kroemer, Scott Niekum, George Dimitri Konidaris
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. CoRR (2019)
Barrett Ames, George Dimitri Konidaris
Bounded-Error LQR-Trees. IROS (2019)
Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris
Finding Options that Minimize Planning Time. ICML (2019)
Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris
Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS (2019)
Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris
Discovering Options for Exploration by Minimizing Cover Time. CoRR (2019)
Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR (2019)
Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris
Discovering Options for Exploration by Minimizing Cover Time. ICML (2019)
Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. IJCAI (2019)
Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris
Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. AAMAS (2019)
Nicholas DeMarinis, Stefanie Tellex, Vasileios P. Kemerlis, George Dimitri Konidaris, Rodrigo Fonseca
Scanning the Internet for ROS: A View of Security in Robotics Research. ICRA (2019)
Benjamin Burchfiel, George Dimitri Konidaris
Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors. CoRR (2019)
Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How
Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. 64 (2019)
Sean Murray, Will Floyd-Jones, George Dimitri Konidaris, Daniel J. Sorin
A Programmable Architecture for Robot Motion Planning Acceleration. ASAP (2019)
Andrew Levy, George Dimitri Konidaris, Robert Platt Jr., Kate Saenko
Learning Multi-Level Hierarchies with Hindsight. ICLR (Poster) (2019)
George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning. J. Artif. Intell. Res. 61 (2018)
Yuu Jinnai, David Abel, Michael L. Littman, George Dimitri Konidaris
Finding Options that Minimize Planning Time. CoRR (2018)
Benjamin Burchfiel, George Dimitri Konidaris
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. IROS (2018)
Barrett Ames, Allison Thackston, George Dimitri Konidaris
Learning Symbolic Representations for Planning with Parameterized Skills. IROS (2018)
Yilun Zhou, Benjamin Burchfiel, George Dimitri Konidaris
Representing, learning, and controlling complex object interactions. Auton. Robots 42 (7) (2018)
Benjamin Burchfiel, George Dimitri Konidaris
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. CoRR (2018)
Nicholas DeMarinis, Stefanie Tellex, Vasileios P. Kemerlis, George Dimitri Konidaris, Rodrigo Fonseca
Scanning the Internet for ROS: A View of Security in Robotics Research. CoRR (2018)
David Abel, Yuu Jinnai, Sophie Yue Guo, George Dimitri Konidaris, Michael L. Littman
Policy and Value Transfer in Lifelong Reinforcement Learning. ICML (2018)
Benjamin Burchfiel, George Dimitri Konidaris
Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception. Robotics: Science and Systems (2017)
Garrett Andersen, George Dimitri Konidaris
Active Exploration for Learning Symbolic Representations. NIPS (2017)
Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. AAAI (2017)
Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex
Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted Displays. CoRR (2017)
David Whitney, Eric Rosen, Elizabeth Phillips, George Dimitri Konidaris, Stefanie Tellex
Comparing Robot Grasping Teleoperation Across Desktop and Virtual Reality with ROS Reality. ISRR (2017)
Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Dimitri Konidaris
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. NIPS (2017)
Kavosh Asadi, Cameron Allen, Melrose Roderick, Abdel-rahman Mohamed, George Dimitri Konidaris, Michael L. Littman
Mean Actor Critic. CoRR (2017)
Taylor W. Killian, Samuel Daulton, George Dimitri Konidaris, Finale Doshi-Velez
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes. CoRR (2017)
Steven D. James, George Dimitri Konidaris, Benjamin Rosman
An Analysis of Monte Carlo Tree Search. AAAI (2017)
Garrett Andersen, George Dimitri Konidaris
Active Exploration for Learning Symbolic Representations. CoRR (2017)
Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex
Communicating Robot Arm Motion Intent Through Mixed Reality Head-Mounted Displays. ISRR (2017)
Sean Murray, William Floyd-Jones, Ying Qi, George Dimitri Konidaris, Daniel J. Sorin
The microarchitecture of a real-time robot motion planning accelerator. MICRO (2016)
Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
Policy search for multi-robot coordination under uncertainty. Int. J. Robotics Res. 35 (14) (2016)
Yilun Zhou, George Dimitri Konidaris
Representing and Learning Complex Object Interactions. Robotics: Science and Systems (2016)
Sean Murray, Will Floyd-Jones, Ying Qi, Daniel J. Sorin, George Dimitri Konidaris
Robot Motion Planning on a Chip. Robotics: Science and Systems (2016)
Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. CoRR (2016)
Tadahiro Taniguchi, Emre Ugur, George Dimitri Konidaris
Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14). NII Shonan Meet. Rep. 2016 (2016)
Warwick Masson, Pravesh Ranchod, George Dimitri Konidaris
Reinforcement Learning with Parameterized Actions. AAAI (2016)
Finale Doshi-Velez, George Dimitri Konidaris
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations. IJCAI (2016)
George Dimitri Konidaris
Constructing Abstraction Hierarchies Using a Skill-Symbol Loop. IJCAI (2016)
Warwick Masson, George Dimitri Konidaris
Reinforcement Learning with Parameterized Actions. CoRR (2015)
Robert Morris, Blai Bonet, Marc Cavazza, Marie desJardins, Ariel Felner, Nick Hawes, Brad Knox, Sven Koenig, George Dimitri Konidaris, Jérôme Lang, Carlos Linares López, Daniele Magazzeni, Amy McGovern, Sriraam Natarajan, Nathan R. Sturtevant, Michael Thielscher, William Yeoh, Sebastian Sardiña, Kiri Wagstaff
A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. AI Mag. 36 (3) (2015)
Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Dimitri Konidaris
Policy Evaluation Using the Ω-Return. NIPS (2015)
George Dimitri Konidaris
Constructing Abstraction Hierarchies Using a Skill-Symbol Loop. CoRR (2015)
George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Symbol Acquisition for Probabilistic High-Level Planning. IJCAI (2015)
Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36 (1) (2015)
Dean S. Wookey, George Dimitri Konidaris
Regularized feature selection in reinforcement learning. Mach. Learn. 100 (2-3) (2015)
Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
Planning for decentralized control of multiple robots under uncertainty. ICRA (2015)
Pravesh Ranchod, Benjamin Rosman, George Dimitri Konidaris
Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning. IROS (2015)
Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
Policy Search for Multi-Robot Coordination under Uncertainty. Robotics: Science and Systems (2015)
Scott Niekum, Sarah Osentoski, George Dimitri Konidaris, Sachin Chitta, Bhaskara Marthi, Andrew G. Barto
Learning grounded finite-state representations from unstructured demonstrations. Int. J. Robotics Res. 34 (2) (2015)
Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Jonathan P. How, Leslie Pack Kaelbling
Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia (2015)
George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Constructing Symbolic Representations for High-Level Planning. AAAI (2014)
Bruno Castro da Silva, Gianluca Baldassarre, George Dimitri Konidaris, Andrew G. Barto
Learning parameterized motor skills on a humanoid robot. ICRA (2014)
Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Dimitri Konidaris, Leslie Pack Kaelbling
Optimizing a Start-Stop Controller Using Policy Search. AAAI (2014)
George Dimitri Konidaris, Finale Doshi-Velez
Hidden Parameter Markov Decision Processes: An Emerging Paradigm for Modeling Families of Related Tasks. AAAI Fall Symposia (2014)
Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto
Active Learning of Parameterized Skills. ICML (2014)
Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling
Planning with macro-actions in decentralized POMDPs. AAMAS (2014)
Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
Planning for Decentralized Control of Multiple Robots Under Uncertainty. CoRR (2014)
Finale Doshi-Velez, George Dimitri Konidaris
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations. CoRR (2013)
Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Hai Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar
The AAAI-13 Conference Workshops. AI Mag. 34 (4) (2013)
George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Symbol Acquisition for Task-Level Planning. AAAI Workshop: Learning Rich Representations from Low-Level Sensors (2013)
Gustavo Goretkin, Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris
Optimal sampling-based planning for linear-quadratic kinodynamic systems. ICRA (2013)
Vita Markman, Georgi Stojanov, Bipin Indurkhya, Takashi Kido, Keiki Takadama, George Dimitri Konidaris, Eric Eaton, Naohiro Matsumura, Renate Fruchter, Donald A. Sofge, William F. Lawless, Omid Madani, Rahul Sukthankar
Reports of the 2013 AAAI Spring Symposium Series. AI Mag. 34 (3) (2013)
George Dimitri Konidaris
Robots, skills, and symbols. MLIS@IJCAI (2013)
Harith Alani, Bo An, Manish Jain, Takashi Kido, George Dimitri Konidaris, William F. Lawless, David L. Martin, Caroline Pantofaru, Donald A. Sofge, Keiki Takadama, Milind Tambe, Tomas Vitvar
Reports of the AAAI 2012 Spring Symposia. AI Mag. 33 (3) (2012)
George Dimitri Konidaris, Scott Kuindersma, Roderic A. Grupen, Andrew G. Barto
Robot learning from demonstration by constructing skill trees. Int. J. Robotics Res. 31 (3) (2012)
Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. ICRA (2012)
Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto
Learning Parameterized Skills. ICML (2012)
Scott Niekum, Sarah Osentoski, George Dimitri Konidaris, Andrew G. Barto
Learning and generalization of complex tasks from unstructured demonstrations. IROS (2012)
George Dimitri Konidaris, Ilya Scheidwasser, Andrew G. Barto
Transfer in Reinforcement Learning via Shared Features. J. Mach. Learn. Res. 13 (2012)
George Dimitri Konidaris, Scott Niekum, Philip S. Thomas
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning. NIPS (2011)
George Dimitri Konidaris, Sarah Osentoski, Philip S. Thomas
Value Function Approximation in Reinforcement Learning Using the Fourier Basis. AAAI (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

George Dimitri Konidaris