M. M. Baker, A. New, M. Aguilar-Simon, Z. Al-Halah, S.M.R. Arnold, E. Ben-Iwhiwhu,
A.P. Brna, E. Brooks, R.C. Brown, Z. Daniels, A. Daram, F. Delattre, R. Dellana, E. Eaton, H. Fu, K. Grauman, J. Hostetler, S. Iqbal, C. Kent,
N. Ketz, S. Kolouri, G.D. Konidaris, D. Kudithipudi, E. Learned-Miller, S. Lee, M.L. Littman, S. Madireddy, J.A. Mendez, E.Q. Nguyen, C.D. Piatko, P.K. Pilly,
A. Raghavan, A. Rahman, S.K. Ramakrishnan, N. Ratzlaff, A. Soltoggio, P. Stone, I. Sur, Z. Tang, S. Tiwari, K. Vedder, F. Wang, Z. Xu, A. Yanguas-Gil, H. Yedidsion,
S. Yu, G.K. Vallabha.
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems.
Neural Networks volume 160, pages 274-296, March 2023.
S. Lobel, S. Rammohan, B. He, S. Yu, and G.D. Konidaris.
Q-Functionals for Value-Based Continuous Control.
In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, February 2023.
A. Pacheck, S. James, G.D. Konidaris, and H. Kress-Gazit.
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations.
Accepted, International Journal of Robotics Research, January 2023.
2022
E. Rosen, B. Abbatematteo, S. Thompson, T. Akbulut, and G.D. Konidaris.
On the Role of Structure in Manipulation Skill Learning.
In the CoRL 2022 Workshop on Learning, Perception, and Abstraction for Long-Horizon Planning, December 2022.
K. Zheng, R. Chitnis, Y. Sung, G.D. Konidaris, and S. Tellex.
Towards Optimal Correlational Object Search.
In Proceedings of the 2022 International Conference on Robotics and Automation, pages 7313-7319, May 2022.
E. Rosen, N. Kumar, N. Gopalan, D. Ullman, G.D. Konidaris, and S. Tellex.
Building Plannable Representations with Mixed Reality.
In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2020.
[Video]
S. Murray, G.D. Konidaris, and D.J. Sorin.
Roadmap Subsampling for Changing Environments.
In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2020.
M. Merlin, N. Parikh, E. Rosen, and G.D. Konidaris.
Locally Observable Markov Decision Processes.
In the ICRA 2020 Workshop on Perception, Action, Learning:
From Metric-Semantic Scene Understanding to High-level Task Execution,
June 2020.
A. Bagaria and G.D. Konidaris.
Option Discovery using Deep Skill Chaining.
In Proceedings of the Eighth International Conference on Learning Representations, April 2020.
V. Cohen, B. Burchfiel, T. Nguyen, N. Gopalan, G.D. Konidaris,
and S. Tellex.
Grounding Language Attributes to Objects Using Bayesian Eigenobjects. In
Proceedings of the 2019 IEEE/RSJ International Conference on
Intelligent Robots and Systems, pages 1187-1194, November 2019.
B. Ames and G.D. Konidaris. Bounded Error LQR-Trees.
In
Proceedings of the 2019 IEEE/RSJ International Conference on
Intelligent Robots and Systems, pages 144-150, November 2019.
G.D. Konidaris. On The
Necessity of Abstraction. Current Opinion in Behavioral Sciences 29
(Special Issue on Artificial Intelligence),
pages 1-7, October 2019.
Y. Jinnai, D. Abel, D. Hershkowitz, M.L. Littman, and G.D. Konidaris.
Finding Options that Minimize Planning Time. In Proceedings of the 36th International
Conference on Machine Learning, pages 3120-3129, June 2019.
S.Y. Gadre, E. Rosen, G. Chien, E. Phillips, S. Tellex, and G.D. Konidaris.
End-User Robot Programming Using Mixed Reality.
In Proceedings of the 2019 International Conference on Robotics and Automation, pages 2707-2713,
May 2019.
A. Levy, G.D. Konidaris, R. Platt, and K. Saenko.
Learning Multi-Level Hierarchies with Hindsight.
In Proceedings of the Eighth International Conference on Learning Representations,
May 2019.
Y. Jinnai, D. Abel, J.W. Park, D.E. Hershkowitz, M.L. Littman, and G.D. Konidaris
Skill Discovery with Well-Defined Objectives.
In Proceedings of the ICLR Workshop on Structure and Priors in Reinforcement Learning,
May 2019.
S. James, B. Rosman, and G.D. Konidaris. Learning to Plan with Portable Symbols.
In the ICML/IJCAI/AAMAS 2018 Workshop on Planning
and Learning, July 2018.
S. James, G.D. Konidaris, and B. Rosman.
An Analysis of Monte
Carlo Tree Search. In
Proceedings of the Thirty-First AAAI Conference on Artificial
Intelligence, pages 3576-3582, February 2017.
W. Masson, P. Ranchod, and G.D. Konidaris.
Reinforcement Learning with Parameterized Actions.
In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, pages 1934-1940,
February 2016.
2015
G.D. Konidaris.
What Are Representations For? Invited contribution in
IEEE CIS Newsletter on Cognitive and Developmental Systems, page 7,
December 2015.
P. S. Thomas, S. Niekum, G. Theocharous, and G. D. Konidaris.
Policy Evaluation using the Ω-Return. In
Advances in Neural Information Processing Systems 28,
pages 334-342, December 2015.
G.D. Konidaris, L.P. Kaelbling, and T. Lozano-Perez.
Symbol Acquisition for Probabilistic High-Level Planning.
In Proceedings of the Twenty Fourth International Joint
Conference on
Artificial Intelligence, pages 3619-3627, July 2015.
Please note that this paper has been superceded by our
JAIR 2018
paper.
C. Amato, S. Omidshafiei, A Agha-mohammadi, G.D. Konidaris,
J.P. How, and L.P. Kaelbling.
Probabilistic Planning for Multi-Robot Systems.
In Proceedings of the RSS-2015 Workshop on Principles of Multi-Robot Systems, July 2015.
Please note that this paper has been superceded by our
JAIR 2018
paper.
N. Hollingsworth, J. Meyer, R. McGee, J. Doering, G.D. Konidaris and L. Kaelbling.
Optimizing a Start-Stop Controller using Policy Search.
In Proceedings of the Twenty-Sixth Annual Conference on Innovative
Applications of Artificial Intelligence, pages 2984-2989, July 2014.
B.C. da Silva, G.D. Konidaris, and A.G. Barto.
Active Learning of Parameterized Skills.
In
Proceedings of the Thirty First International Conference
on Machine Learning, pages 1737-1745, June 2014.
C. Amato, G.D. Konidaris and L.P. Kaelbling.
Planning with Macro-Actions in Decentralized
POMDPs.
In Proceedings of the
13th International Conference on Autonomous Agents and Multiagent Systems,
pages 1273-1280, May 2014.
2013
A.G. Barto, G.D. Konidaris, and C.M. Vigorito.
Behavioral Hierarchy: Exploration and Representation.
In Computational and Robotic Models of the Hierarchical Organization of Behavior,
Baldassarre, Gianluca; Mirolli, Marco (Eds.), pages 13-46, Springer, Berlin, October 2013.
G.D. Konidaris. Robots, Skills, and Symbols
(Extended Abstract). In Proceedings of the 2013 Workshop on Machine Learning for Interactive Systems,
August 2013.
G.D. Konidaris, L.P. Kaelbling and T. Lozano-Perez.
Symbol Acquisition for Task-Level Planning.
In the AAAI 2013
Workshop on Learning Rich Representations from Low-Level Sensors,
July 2013.
Please note that this paper has been superceded by our
JAIR 2018
paper.
G.D. Konidaris, S. Kuindersma, S. Niekum, R.A. Grupen and A.G. Barto.
Robot Learning: Some Recent Examples. In
Proceedings of the Sixteenth Yale Workshop
on Adaptive and Learning Systems, pages 71-76,
Center for Systems Science,
Dunham Laboratory,
Department of Electrical Engineering, Yale University, New Haven CT,
June 2013.
B.C. da Silva, G.D. Konidaris and A.G. Barto.
Learning Parameterized Skills.
In Proceedings of the Twenty Ninth International Conference on Machine
Learning, pages 1679-1686, June 2012.
G.D. Konidaris, S.R. Kuindersma, R.A. Grupen and A.G. Barto.
Autonomous Skill Acquisition on a Mobile
Manipulator.
In Proceedings of the Twenty-Fifth AAAI Conference on Artificial
Intelligence, pages 1468-1473, August 2011.
Source code for the Fourier Basis is available on my software page.
G.D. Konidaris, S.R. Kuindersma, R.A. Grupen and A.G. Barto.
CST: Constructing Skill Trees by
Demonstration.
In Proceedings of the ICML Workshop on New
Developments in Imitation Learning, July 2011.
G.D. Konidaris and A.G. Barto. Towards the
Autonomous Acquisition of Robot Skill
Hierarchies (poster abstract). In the Robotics: Science and
Systems
Workshop
on
Bridging the
Gap Between High-Level Discrete Representations and Low-Level Continuous
Behaviors, Seattle, June 2009.
Please note that this paper has been superceded by our
AAAI 2011
paper.
Source code for the Fourier Basis is available on my software page.
E.L. Nelson, G.D. Konidaris and N.E. Berthier. Using
Real-Time Motion Capture to Measure Handedness in Infants.
Poster presentation at the XVIth Biennial International Conference
on Infant Studies, Vancouver, Canada, March 2008.
G.D. Konidaris and A.G. Barto. An
Adaptive Robot Motivational
System. In From Animals to Animats 9:
Proceedings of the 9th International Conference on the Simulation of Adaptive
Behavior, pages 346-356, September 2006.
Also released as: G.D. Konidaris and I.D. Sanders,
Axial Line Placement in Deformed Urban Grids. Technical
Report TR-Wits-CS-2002-04, School of Computer Science, University of
the Witwatersrand, April 2002.
J. Adler, G.D. Christelis, J.A. Deneys, G.D. Konidaris,
G. Lewis, A.G. Lipson, R.L. Phillips, D.K. Scott-Dawkins,
D.A. Shell, B.V. Strydom, W.M. Trakman and L.D. Van Gool.
Finding Adjacencies in Non-Overlapping
Polygons. Electronic Paper, Proceedings of the 2001 SAICSIT
Conference, September 2001.