George Konidaris
Cited by
Cited by
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
Skill discovery in continuous reinforcement learning domains using skill chaining
G Konidaris, A Barto
Advances in Neural Information Processing Systems, 1015-1023, 2009
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
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
Building Portable Options: Skill Transfer in Reinforcement Learning.
GD Konidaris, AG Barto
Ijcai 7, 895-900, 2007
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
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
Learning multi-level hierarchies with hindsight
A Levy, G Konidaris, R Platt, K Saenko
The Seventh International Conference on Learning Representations, 2019
Autonomous shaping: Knowledge transfer in reinforcement learning
G Konidaris, A Barto
Proceedings of the 23rd international conference on Machine learning, 489-496, 2006
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
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
Reinforcement learning with parameterized actions
W Masson, P Ranchod, G Konidaris
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
Learning parameterized skills
B Da Silva, G Konidaris, A Barto
Proceedings of the Twenty Ninth International Conference on Machine Learning …, 2012
Comparing robot grasping teleoperation across desktop and virtual reality with ROS reality
D Whitney, E Rosen, E Phillips, G Konidaris, S Tellex
Robotics Research: The 18th International Symposium ISRR, 335-350, 2019
Modeling and planning with macro-actions in decentralized POMDPs
C Amato, G Konidaris, LP Kaelbling, JP How
Journal of Artificial Intelligence Research 64, 817-859, 2019
Robot motion planning on a chip.
S Murray, W Floyd-Jones, Y Qi, DJ Sorin, GD Konidaris
Robotics: Science and Systems 6, 2016
Communicating robot arm motion intent through mixed reality head-mounted displays
E Rosen, D Whitney, E Phillips, G Chien, J Tompkin, G Konidaris, S Tellex
Robotics research: The 18th international symposium ISRR, 301-316, 2020
Hidden parameter markov decision processes: A semiparametric regression approach for discovering latent task parametrizations
F Doshi-Velez, G Konidaris
IJCAI: proceedings of the conference 2016, 1432, 2016
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
Constructing symbolic representations for high-level planning
G Konidaris, L Kaelbling, T Lozano-Perez
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
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