George Konidaris
Title
Cited by
Cited by
Year
Value function approximation in reinforcement learning using the Fourier basis
G Konidaris, S Osentoski, P Thomas
Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, 380-385, 2011
3382011
Robot learning from demonstration by constructing skill trees
G Konidaris, S Kuindersma, R Grupen, A Barto
The International Journal of Robotics Research 31 (3), 360-375, 2012
2832012
Building Portable Options: Skill Transfer in Reinforcement Learning.
GD Konidaris, AG Barto
IJCAI 7, 895-900, 2007
2812007
Skill discovery in continuous reinforcement learning domains using skill chaining
G Konidaris, A Barto
Advances in Neural Information Processing Systems, 1015-1023, 2009
2612009
Autonomous shaping: Knowledge transfer in reinforcement learning
G Konidaris, A Barto
Proceedings of the 23rd international conference on Machine learning, 489-496, 2006
2482006
LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics
A Perez, R Platt, G Konidaris, L Kaelbling, T Lozano-Perez
Robotics and Automation (ICRA), 2012 IEEE International Conference on, 2537-2542, 2012
2212012
Learning and generalization of complex tasks from unstructured demonstrations
S Niekum, S Osentoski, G Konidaris, AG Barto
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
1862012
Learning grounded finite-state representations from unstructured demonstrations
S Niekum, S Osentoski, G Konidaris, S Chitta, B Marthi, AG Barto
The International Journal of Robotics Research 34 (2), 131-157, 2015
1852015
Learning parameterized skills
B Da Silva, G Konidaris, A Barto
Proceedings of the Twenty Ninth International Conference on Machine Learning …, 2012
1852012
From skills to symbols: Learning symbolic representations for abstract high-level planning
G Konidaris, LP Kaelbling, T Lozano-Perez
Journal of Artificial Intelligence Research 61, 215-289, 2018
1472018
Transfer in reinforcement learning via shared features
G Konidaris, I Scheidwasser, AG Barto
Journal of Machine Learning Research, 2012
1252012
Constructing skill trees for reinforcement learning agents from demonstration trajectories
G Konidaris, S Kuindersma, R Grupen, A Barto
Advances in neural information processing systems, 1162-1170, 2010
1032010
Constructing symbolic representations for high-level planning
G Konidaris, L Kaelbling, T Lozano-Perez
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
1012014
Planning for decentralized control of multiple robots under uncertainty
C Amato, G Konidaris, G Cruz, CA Maynor, JP How, LP Kaelbling
2015 IEEE International Conference on Robotics and Automation (ICRA), 1241-1248, 2015
972015
Learning multi-level hierarchies with hindsight
A Levy, G Konidaris, R Platt, K Saenko
The Seventh International Conference on Learning Representations, 2019
952019
Intrinsically motivated reinforcement learning: A promising framework for developmental robot learning
A Stout, G Konidaris, A Barto
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER, 2005
912005
Reinforcement learning with parameterized actions
W Masson, P Ranchod, G Konidaris
Thirtieth AAAI Conference on Artificial Intelligence, 2016
902016
Efficient skill learning using abstraction selection
G Konidaris, A Barto
Twenty-First International Joint Conference on Artificial Intelligence, 2009
872009
A review of robot learning for manipulation: Challenges, representations, and algorithms
O Kroemer, S Niekum, G Konidaris
Journal of Machine Learning Research 22 (30), 1-82, 2021
842021
Robot Motion Planning on a Chip.
S Murray, W Floyd-Jones, Y Qi, DJ Sorin, GD Konidaris
Robotics: Science and Systems, 2016
812016
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Articles 1–20