George Dimitri Konidaris

121 papers A* 32A 14C 2Journal 53Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NovaPlan: Zero-Shot Long-Horizon Manipulation via Closed-Loop Video Language Planning. CoRR Jiahui Fu, Junyu Nan, Lingfeng Sun, Hongyu Li, Jianing Qian, Jennifer L. Barry, Kris Kitani, George Dimitri Konidaris
2025	A	`conf`	Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network. AAMAS Vincent Hsiao, Mark Roberts, Laura M. Hiatt, George Dimitri Konidaris, Dana S. Nau
2025	J	`jnl`	Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains. CoRR Ruo Yu Tao, Kaicheng Guo, Cameron Allen, George Dimitri Konidaris
2025	J	`jnl`	Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning. CoRR Martin Klissarov, Akhil Bagaria, Ziyan Luo, George Dimitri Konidaris, Doina Precup, Marlos C. Machado
2025	J	`jnl`	From Pixels to Factors: Learning Independently Controllable State Variables for Reinforcement Learning. CoRR Rafael Rodríguez-Sánchez, Cameron Allen, George Dimitri Konidaris
2025	J	`jnl`	Knowledge Retention for Continual Model-Based Reinforcement Learning. CoRR Yixiang Sun, Haotian Fu, Michael L. Littman, George Dimitri Konidaris
2025	J	`jnl`	Optimal Interactive Learning on the Job via Facility Location Planning. CoRR Shivam Vats, Michelle Zhao, Patrick Callaghan, Mingxi Jia, Maxim Likhachev, Oliver Kroemer, George Dimitri Konidaris
2025	J	`jnl`	SkillWrapper: Generative Predicate Invention for Skill Abstraction. CoRR Ziyi Yang, Benned Hedegaard, Ahmed Jaafar, Yichen Wei, Skye Thompson, Shreyas Sundara Raman, Haotian Fu, Stefanie Tellex, George Dimitri Konidaris, David Paulius, Naman Shah
2024	A*	`conf`	Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills. ICRA Ben Abbatematteo, Eric Rosen, Skye Thompson, Tuluhan Akbulut, Sreehari Rammohan, George Dimitri Konidaris
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR 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 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
2023	J	`jnl`	Automatic encoding and repair of reactive high-level tasks with learned abstract representations. Int. J. Robotics Res. Adam Pacheck, Steven James, George Dimitri Konidaris, Hadas Kress-Gazit
2023	A*	`conf`	Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. NeurIPS Akhil Bagaria, Ben Abbatematteo, Omer Gottesman, Matt Corsaro, Sreehari Rammohan, George Dimitri Konidaris
2022	J	`jnl`	Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study. CoRR Shangqun Yu, Sreehari Rammohan, Kaiyu Zheng, George Dimitri Konidaris
2022	J	`jnl`	IKFlow: Generating Diverse Inverse Kinematics Solutions. IEEE Robotics Autom. Lett. Barrett Ames, Jeremy Morgan, George Dimitri Konidaris
2022	J	`jnl`	Learning Abstract and Transferable Representations for Planning. CoRR Steven James, Benjamin Rosman, George Dimitri Konidaris
2022	J	`jnl`	Meta-Learning Transferable Parameterized Skills. CoRR Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael Littman
2022	J	`jnl`	Model-based Lifelong Reinforcement Learning with Bayesian Exploration. CoRR Haotian Fu, Shangqun Yu, Michael Littman, George Dimitri Konidaris
2021	A	`conf`	Bootstrapping Motor Skill Learning with Motion Planning. IROS Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris
2021	J	`jnl`	Bootstrapping Motor Skill Learning with Motion Planning. CoRR Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris
2021	A*	`conf`	Deep Radial-Basis Value Functions for Continuous Control. AAAI Kavosh Asadi, Neev Parikh, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman
2021	A	`conf`	Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. IROS Matt Corsaro, Stefanie Tellex, George Dimitri Konidaris
2021	J	`jnl`	Learning to Infer Kinematic Hierarchies for Novel Object Instances. CoRR Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Dimitri Konidaris, Daniel Ritchie
2021	J	`jnl`	Towards Optimal Correlational Object Search. CoRR Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Dimitri Konidaris, Stefanie Tellex
2021	A*	`conf`	Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion. AAAI Josh Roy, George Dimitri Konidaris
2020	J	`jnl`	Deep RBF Value Functions for Continuous Control. CoRR Kavosh Asadi, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman
2020	A*	`conf`	Exploration in Reinforcement Learning with Deep Covering Options. ICLR Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris
2020	A	`conf`	Roadmap Subsampling for Changing Environments. IROS Sean Murray, George Dimitri Konidaris, Daniel J. Sorin
2019	—	`conf`	A Programmable Architecture for Robot Motion Planning Acceleration. ASAP Sean Murray, Will Floyd-Jones, George Dimitri Konidaris, Daniel J. Sorin
2019	J	`jnl`	A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. CoRR Oliver Kroemer, Scott Niekum, George Dimitri Konidaris
2019	A	`conf`	Bounded-Error LQR-Trees. IROS Barrett Ames, George Dimitri Konidaris
2019	J	`jnl`	Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays. Int. J. Robotics Res. Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex
2019	A*	`conf`	DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. IJCAI Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris
2019	A*	`conf`	Discovering Options for Exploration by Minimizing Cover Time. ICML Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris
2019	J	`jnl`	Discovering Options for Exploration by Minimizing Cover Time. CoRR Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris
2019	A*	`conf`	End-User Robot Programming Using Mixed Reality. ICRA Samir Yitzhak Gadre, Eric Rosen, Gary Chien, Elizabeth Phillips, Stefanie Tellex, George Dimitri Konidaris
2019	A*	`conf`	Finding Options that Minimize Planning Time. ICML Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris
2019	A	`conf`	Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris
2019	J	`jnl`	Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris
2019	J	`jnl`	Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
2019	—	`conf`	Learning Multi-Level Hierarchies with Hindsight. ICLR (Poster) Andrew Levy, George Dimitri Konidaris, Robert Platt Jr., Kate Saenko
2019	J	`jnl`	Learning Portable Representations for High-Level Planning. CoRR Steven James, Benjamin Rosman, George Dimitri Konidaris
2019	J	`jnl`	Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How
2019	J	`jnl`	Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. CoRR Craig J. Bester, Steven D. James, George Dimitri Konidaris
2019	J	`jnl`	Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors. CoRR Benjamin Burchfiel, George Dimitri Konidaris
2019	A	`conf`	Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. AAMAS Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris
2019	A*	`conf`	Scanning the Internet for ROS: A View of Security in Robotics Research. ICRA Nicholas DeMarinis, Stefanie Tellex, Vasileios P. Kemerlis, George Dimitri Konidaris, Rodrigo Fonseca
2018	J	`jnl`	Finding Options that Minimize Planning Time. CoRR Yuu Jinnai, David Abel, Michael L. Littman, George Dimitri Konidaris
2018	J	`jnl`	From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning. J. Artif. Intell. Res. George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	A	`conf`	Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. IROS Benjamin Burchfiel, George Dimitri Konidaris
2018	J	`jnl`	Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. CoRR Benjamin Burchfiel, George Dimitri Konidaris
2018	A	`conf`	Learning Symbolic Representations for Planning with Parameterized Skills. IROS Barrett Ames, Allison Thackston, George Dimitri Konidaris
2018	A*	`conf`	Policy and Value Transfer in Lifelong Reinforcement Learning. ICML David Abel, Yuu Jinnai, Yue (Sophie) Guo, George Dimitri Konidaris, Michael L. Littman
2018	J	`jnl`	Representing, learning, and controlling complex object interactions. Auton. Robots Yilun Zhou, Benjamin Burchfiel, George Dimitri Konidaris
2018	J	`jnl`	Scanning the Internet for ROS: A View of Security in Robotics Research. CoRR Nicholas DeMarinis, Stefanie Tellex, Vasileios P. Kemerlis, George Dimitri Konidaris, Rodrigo Fonseca
2017	—	`conf`	Active Exploration for Learning Symbolic Representations. NIPS Garrett Andersen, George Dimitri Konidaris
2017	J	`jnl`	Active Exploration for Learning Symbolic Representations. CoRR Garrett Andersen, George Dimitri Konidaris
2017	A*	`conf`	An Analysis of Monte Carlo Tree Search. AAAI Steven James, George Dimitri Konidaris, Benjamin Rosman
2017	—	`conf`	Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception. Robotics: Science and Systems Benjamin Burchfiel, George Dimitri Konidaris
2017	C	`conf`	Communicating Robot Arm Motion Intent Through Mixed Reality Head-Mounted Displays. ISRR Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex
2017	J	`jnl`	Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted Displays. CoRR Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex
2017	C	`conf`	Comparing Robot Grasping Teleoperation Across Desktop and Virtual Reality with ROS Reality. ISRR David Whitney, Eric Rosen, Elizabeth Phillips, George Dimitri Konidaris, Stefanie Tellex
2017	J	`jnl`	Mean Actor Critic. CoRR Kavosh Asadi, Cameron Allen, Melrose Roderick, Abdel-rahman Mohamed, George Dimitri Konidaris, Michael L. Littman
2017	A*	`conf`	Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. AAAI Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez
2017	—	`conf`	Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. NIPS Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Dimitri Konidaris
2017	J	`jnl`	Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes. CoRR Taylor W. Killian, Samuel Daulton, George Dimitri Konidaris, Finale Doshi-Velez
2016	J	`jnl`	Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14). NII Shonan Meet. Rep. Tadahiro Taniguchi, Emre Ugur, George Dimitri Konidaris
2016	A*	`conf`	Constructing Abstraction Hierarchies Using a Skill-Symbol Loop. IJCAI George Dimitri Konidaris
2016	A*	`conf`	Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations. IJCAI Finale Doshi-Velez, George Dimitri Konidaris
2016	J	`jnl`	Policy search for multi-robot coordination under uncertainty. Int. J. Robotics Res. Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
2016	A*	`conf`	Reinforcement Learning with Parameterized Actions. AAAI Warwick Masson, Pravesh Ranchod, George Dimitri Konidaris
2016	—	`conf`	Representing and Learning Complex Object Interactions. Robotics: Science and Systems Yilun Zhou, George Dimitri Konidaris
2016	—	`conf`	Robot Motion Planning on a Chip. Robotics: Science and Systems Sean Murray, Will Floyd-Jones, Ying Qi, Daniel J. Sorin, George Dimitri Konidaris
2016	A*	`conf`	The microarchitecture of a real-time robot motion planning accelerator. MICRO Sean Murray, William Floyd-Jones, Ying Qi, George Dimitri Konidaris, Daniel J. Sorin
2016	J	`jnl`	Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. CoRR Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez
2015	J	`jnl`	A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. AI Mag. 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
2015	J	`jnl`	Constructing Abstraction Hierarchies Using a Skill-Symbol Loop. CoRR George Dimitri Konidaris
2015	J	`jnl`	Learning grounded finite-state representations from unstructured demonstrations. Int. J. Robotics Res. Scott Niekum, Sarah Osentoski, George Dimitri Konidaris, Sachin Chitta, Bhaskara Marthi, Andrew G. Barto
2015	A	`conf`	Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning. IROS Pravesh Ranchod, Benjamin Rosman, George Dimitri Konidaris
2015	A*	`conf`	Planning for decentralized control of multiple robots under uncertainty. ICRA Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
2015	—	`conf`	Policy Evaluation Using the Ω-Return. NIPS Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Dimitri Konidaris
2015	—	`conf`	Policy Search for Multi-Robot Coordination under Uncertainty. Robotics: Science and Systems Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
2015	—	`conf`	Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Jonathan P. How, Leslie Pack Kaelbling
2015	J	`jnl`	Regularized feature selection in reinforcement learning. Mach. Learn. Dean S. Wookey, George Dimitri Konidaris
2015	J	`jnl`	Reinforcement Learning with Parameterized Actions. CoRR Warwick Masson, George Dimitri Konidaris
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. 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
2015	A*	`conf`	Symbol Acquisition for Probabilistic High-Level Planning. IJCAI George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2014	A*	`conf`	Active Learning of Parameterized Skills. ICML Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto
2014	A*	`conf`	Constructing Symbolic Representations for High-Level Planning. AAAI George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2014	—	`conf`	Hidden Parameter Markov Decision Processes: An Emerging Paradigm for Modeling Families of Related Tasks. AAAI Fall Symposia George Dimitri Konidaris, Finale Doshi-Velez
2014	A*	`conf`	Learning parameterized motor skills on a humanoid robot. ICRA Bruno Castro da Silva, Gianluca Baldassarre, George Dimitri Konidaris, Andrew G. Barto
2014	A*	`conf`	Optimizing a Start-Stop Controller Using Policy Search. AAAI Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Dimitri Konidaris, Leslie Pack Kaelbling
2014	J	`jnl`	Planning for Decentralized Control of Multiple Robots Under Uncertainty. CoRR Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
2014	A	`conf`	Planning with macro-actions in decentralized POMDPs. AAMAS Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling
2013	—	`ch.`	Behavioral Hierarchy: Exploration and Representation. Computational and Robotic Models of the Hierarchical Organization of Behavior Andrew G. Barto, George Dimitri Konidaris, Christopher M. Vigorito
2013	J	`jnl`	Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations. CoRR Finale Doshi-Velez, George Dimitri Konidaris
2013	A*	`conf`	Optimal sampling-based planning for linear-quadratic kinodynamic systems. ICRA Gustavo Goretkin, Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris
2013	J	`jnl`	Reports of the 2013 AAAI Spring Symposium Series. AI Mag. 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
2013	—	`conf`	Robots, skills, and symbols. MLIS@IJCAI George Dimitri Konidaris
2013	—	`conf`	Symbol Acquisition for Task-Level Planning. AAAI Workshop: Learning Rich Representations from Low-Level Sensors George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	J	`jnl`	The AAAI-13 Conference Workshops. AI Mag. Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung 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
2012	A*	`conf`	LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. ICRA Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2012	A*	`conf`	Learning Parameterized Skills. ICML Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto
2012	A	`conf`	Learning and generalization of complex tasks from unstructured demonstrations. IROS Scott Niekum, Sarah Osentoski, George Dimitri Konidaris, Andrew G. Barto
2012	J	`jnl`	Reports of the AAAI 2012 Spring Symposia. AI Mag. 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
2012	J	`jnl`	Robot learning from demonstration by constructing skill trees. Int. J. Robotics Res. George Dimitri Konidaris, Scott Kuindersma, Roderic A. Grupen, Andrew G. Barto
2012	J	`jnl`	Transfer in Reinforcement Learning via Shared Features. J. Mach. Learn. Res. George Dimitri Konidaris, Ilya Scheidwasser, Andrew G. Barto
2011	A*	`conf`	Autonomous Skill Acquisition on a Mobile Manipulator. AAAI George Dimitri Konidaris, Scott Kuindersma, Roderic A. Grupen, Andrew G. Barto
2011	—	`conf`	TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning. NIPS George Dimitri Konidaris, Scott Niekum, Philip S. Thomas
2011	A*	`conf`	Value Function Approximation in Reinforcement Learning Using the Fourier Basis. AAAI George Dimitri Konidaris, Sarah Osentoski, Philip S. Thomas
2010	—	`conf`	Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories. NIPS George Dimitri Konidaris, Scott Kuindersma, Andrew G. Barto, Roderic A. Grupen
2009	A*	`conf`	Efficient Skill Learning using Abstraction Selection. IJCAI George Dimitri Konidaris, Andrew G. Barto
2009	—	`conf`	Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining. NIPS George Dimitri Konidaris, Andrew G. Barto
2008	A*	`conf`	Autonomous Robot Skill Acquisition. AAAI George Dimitri Konidaris
2007	A	`conf`	A forward model of optic flow for detecting external forces. IROS Leonidas Georgopoulos, Gillian M. Hayes, George Dimitri Konidaris
2007	A*	`conf`	Building Portable Options: Skill Transfer in Reinforcement Learning. IJCAI George Dimitri Konidaris, Andrew G. Barto
2006	—	`conf`	An Adaptive Robot Motivational System. SAB George Dimitri Konidaris, Andrew G. Barto
2006	A*	`conf`	Autonomous shaping: knowledge transfer in reinforcement learning. ICML George Dimitri Konidaris, Andrew G. Barto
2006	A	`conf`	Language performance at high school and success in first year computer science. SIGCSE Sarah Rauchas, Benjamin Rosman, George Dimitri Konidaris, Ian D. Sanders
2005	J	`jnl`	An Architecture for Behavior-Based Reinforcement Learning. Adapt. Behav. George Dimitri Konidaris, Gillian M. Hayes
2005	—	`conf`	METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development. ECAL Finlay Stewart, Tim Taylor, George Dimitri Konidaris
2004	—	`conf`	HydroGen: Automatically Generating Self-Assembly Code for Hydron Units. DARS George Dimitri Konidaris, Tim Taylor, John Hallam