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A total of 60 records were found in 0.25 seconds
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Policy and Value Transfer in Lifelong Reinforcement Learning
David Abel, Yuu Jinnai, Sophie Yue Guo, George Konidaris, Michael L. Littman
ICML, 20-29, 2018
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An Analysis of Monte Carlo Tree Search
Steven James, George Konidaris, Benjamin Rosman
AAAI, 3576-3582, 2017
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Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor W. Killian, George Konidaris, Finale Doshi-Velez
AAAI, 4949-4950, 2017
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Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception
Benjamin Burchfiel, George Konidaris
Robotics: Science and Systems, 2017
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Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Konidaris
NIPS, 6251-6262, 2017
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Active Exploration for Learning Symbolic Representations
Garrett Andersen, George Konidaris
NIPS, 5016-5026, 2017
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Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14)
Tadahiro Taniguchi, Emre Ugur, George Konidaris
NII Shonan Meet. Rep., 2016, 2016
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Reinforcement Learning with Parameterized Actions
Warwick Masson, Pravesh Ranchod, George Konidaris
AAAI, 1934-1940, 2016
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Policy search for multi-robot coordination under uncertainty
Christopher Amato, George Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
I. J. Robotics Res., 35(14):1760-1778, 2016
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Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes
Taylor Killian, George Konidaris, Finale Doshi-Velez
CoRR, abs/1612.00475, 2016
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Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations
Finale Doshi-Velez, George Konidaris
IJCAI, 1432-1440, 2016
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Constructing Abstraction Hierarchies Using a Skill-Symbol Loop
George Konidaris
IJCAI, 1648-1654, 2016
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Representing and Learning Complex Object Interactions
Yilun Zhou, George Konidaris
Robotics: Science and Systems, 2016
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Robot Motion Planning on a Chip
Sean Murray, Will Floyd-Jones, Ying Qi, Daniel J. Sorin, George Konidaris
Robotics: Science and Systems, 2016
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Probabilistic Planning for Decentralized Multi-Robot Systems
Christopher Amato, George Konidaris, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Jonathan P. How, Leslie Pack Kaelbling
AAAI Fall Symposia, 10-12, 2015
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Reports of the AAAI 2014 Conference Workshops
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 Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole 0001, 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
AI Magazine, 36(1):87-98, 2015
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Learning grounded finite-state representations from unstructured demonstrations
Scott Niekum, Sarah Osentoski, George Konidaris, Sachin Chitta, Bhaskara Marthi, Andrew G. Barto
I. J. Robotics Res., 34(2):131-157, 2015
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A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence
Robert Morris, Blai Bonet, Marc Cavazza, Marie desJardins, Ariel Felner, Nick Hawes, Brad Knox, Sven Koenig, George Konidaris, Jérôme Lang, Carlos Linares López, Daniele Magazzeni, Amy McGovern, Sriraam Natarajan, Nathan R. Sturtevant, Michael Thielscher, William Yeoh 0001, Sebastian Sardiña, Kiri Wagstaff
AI Magazine, 36(3):99-106, 2015
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Reinforcement Learning with Parameterized Actions
Warwick Masson, George Konidaris
CoRR, abs/1509.01644, 2015
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Constructing Abstraction Hierarchies Using a Skill-Symbol Loop
George Konidaris
CoRR, abs/1509.07582, 2015
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Policy Search for Multi-Robot Coordination under Uncertainty
Christopher Amato, George Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
Robotics: Science and Systems, 2015
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Planning for decentralized control of multiple robots under uncertainty
Christopher Amato, George Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
ICRA, 1241-1248, 2015
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Policy Evaluation Using the Ω-Return
Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Konidaris
NIPS, 334-342, 2015
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Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning
Pravesh Ranchod, Benjamin Rosman, George Konidaris
IROS, 471-477, 2015
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Symbol Acquisition for Probabilistic High-Level Planning
George Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
IJCAI, 3619-3627, 2015
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Optimizing a Start-Stop Controller Using Policy Search
Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Konidaris, Leslie Pack Kaelbling
AAAI, 2984-2989, 2014
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Constructing Symbolic Representations for High-Level Planning
George Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
AAAI, 1932-1938, 2014
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Optimizing a Start-Stop Controller Using Policy Search
Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Konidaris, Leslie Pack Kaelbling
IAAI, 2984-2989, 2014
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Planning for Decentralized Control of Multiple Robots Under Uncertainty
Christopher Amato, George Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
CoRR, abs/1402.2871, 2014
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Learning parameterized motor skills on a humanoid robot
Bruno Castro da Silva, Gianluca Baldassarre, George Konidaris, Andrew G. Barto
ICRA, 5239-5244, 2014
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Planning with macro-actions in decentralized POMDPs
Christopher Amato, George Konidaris, Leslie Pack Kaelbling
AAMAS, 1273-1280, 2014
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Active Learning of Parameterized Skills
Bruno Castro da Silva, George Konidaris, Andrew G. Barto
ICML, 1737-1745, 2014
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Hidden Parameter Markov Decision Processes: An Emerging Paradigm for Modeling Families of Related Tasks
George Konidaris, Finale Doshi-Velez
AAAI Fall Symposia, 2014
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Robots, skills, and symbols
George Konidaris
MLIS@IJCAI, 9-11, 2013
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Behavioral Hierarchy: Exploration and Representation
Andrew G. Barto, George Konidaris, Christopher M. Vigorito
Computational and Robotic Models of the Hierarchical Organization of Behavior, 13-46, 2013
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Reports of the 2013 AAAI Spring Symposium Series
Vita Markman, Georgi Stojanov, Bipin Indurkhya, Takashi Kido, Keiki Takadama, George Konidaris, Eric Eaton, Naohiro Matsumura, Renate Fruchter, Donald A. Sofge, William F. Lawless, Omid Madani, Rahul Sukthankar
AI Magazine, 34(3):93-98, 2013
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Optimal sampling-based planning for linear-quadratic kinodynamic systems
Gustavo Goretkin, Alejandro Perez, Robert Platt, George Konidaris
ICRA, 2429-2436, 2013
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The AAAI-13 Conference Workshops
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 Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole 0001, Lokendra Shastri, Amarda Shehu, Gita Sukthankar
AI Magazine, 34(4):9-, 2013
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Symbol Acquisition for Task-Level Planning
George Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
AAAI Workshop: Learning Rich Representations from Low-Level Sensors, 2013
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Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations
Finale Doshi-Velez, George Konidaris
CoRR, abs/1308.3513, 2013
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Primal decomposition and online algorithms for flow optimization in wireless DTNs
George Konidaris, Stavros Toumpis, Savvas Gitzenis
GLOBECOM, 84-90, 2013
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Reports of the AAAI 2012 Spring Symposia
Harith Alani, Bo An, Manish Jain, Takashi Kido, George Konidaris, William F. Lawless, David L. Martin 0001, Caroline Pantofaru, Donald A. Sofge, Keiki Takadama, Milind Tambe, Tomas Vitvar
AI Magazine, 33(3):109-114, 2012
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Flow optimization in Delay Tolerant Networks using dual decomposition
Savvas Gitzenis, George Konidaris, Stavros Toumpis
WiOpt, 444-451, 2012
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LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics
Alejandro Perez, Robert Platt, George Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
ICRA, 2537-2542, 2012
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Learning and generalization of complex tasks from unstructured demonstrations
Scott Niekum, Sarah Osentoski, George Konidaris, Andrew G. Barto
IROS, 5239-5246, 2012
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Learning Parameterized Skills
Bruno Castro da Silva, George Konidaris, Andrew G. Barto
ICML, 2012
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Transfer in Reinforcement Learning via Shared Features
George Konidaris, Ilya Scheidwasser, Andrew G. Barto
Journal of Machine Learning Research, 131333-1371, 2012
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Robot learning from demonstration by constructing skill trees
George Konidaris, Scott Kuindersma, Roderic A. Grupen, Andrew G. Barto
I. J. Robotics Res., 31(3):360-375, 2012
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TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris, Scott Niekum, Philip S. Thomas
NIPS, 2402-2410, 2011
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Value Function Approximation in Reinforcement Learning Using the Fourier Basis
George Konidaris, Sarah Osentoski, Philip S. Thomas
AAAI, 2011
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Autonomous Skill Acquisition on a Mobile Manipulator
George Konidaris, Scott Kuindersma, Roderic A. Grupen, Andrew G. Barto
AAAI, 2011
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Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
George Konidaris, Scott Kuindersma, Andrew G. Barto, Roderic A. Grupen
NIPS, 1162-1170, 2010
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Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
George Konidaris, Andrew G. Barto
NIPS, 1015-1023, 2009
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Efficient Skill Learning using Abstraction Selection
George Konidaris, Andrew G. Barto
IJCAI, 1107-1112, 2009
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Autonomous Robot Skill Acquisition
George Konidaris
AAAI, 1855-1856, 2008
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Building Portable Options: Skill Transfer in Reinforcement Learning
George Konidaris, Andrew G. Barto
IJCAI, 895-900, 2007
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An Adaptive Robot Motivational System
George Konidaris, Andrew G. Barto
SAB, 346-356, 2006
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Autonomous shaping: knowledge transfer in reinforcement learning
George Konidaris, Andrew G. Barto
ICML, 489-496, 2006
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Language performance at high school and success in first year computer science
Sarah Rauchas, Benjamin Rosman, George Konidaris, Ian D. Sanders
SIGCSE, 398-402, 2006
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METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development
Finlay Stewart, Tim Taylor, George Konidaris
ECAL, 108-117, 2005
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