George Konidaris

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Stefanie TellexBrown UniversityPatvirtintas el. paštas cs.brown.edu
Andrew BartoUniversity of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Michael LittmanBrown UniversityPatvirtintas el. paštas brown.edu
Leslie KaelblingPatvirtintas el. paštas csail.mit.edu
Daniel J. SorinProfessor of ECE and Computer Science, Duke UniversityPatvirtintas el. paštas ee.duke.edu
Scott NiekumAssociate Professor, University of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Steven JamesUniversity of the WitwatersrandPatvirtintas el. paštas wits.ac.za
Scott KuindersmaSenior Director of Robotics Research at Boston DynamicsPatvirtintas el. paštas seas.harvard.edu
Roderic GrupenUniversity of MassachusettsPatvirtintas el. paštas cs.umass.edu
Akhil BagariaPhD Student, Brown UniversityPatvirtintas el. paštas brown.edu
Benjamin RosmanProfessor at the University of the Witwatersrand, South AfricaPatvirtintas el. paštas wits.ac.za
Tomas Lozano-PerezProfessor of Computer Science, MITPatvirtintas el. paštas mit.edu
Cameron S. AllenPostdoc, UC BerkeleyPatvirtintas el. paštas berkeley.edu
Sarah OsentoskiVinci4dPatvirtintas el. paštas vinci4d.ai
Finale Doshi-VelezProfessor, HarvardPatvirtintas el. paštas seas.harvard.edu
Christopher AmatoAssociate Professor at Northeastern UniversityPatvirtintas el. paštas ccs.neu.edu
Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Kavosh AsadiAmazonPatvirtintas el. paštas amazon.com
Elizabeth PhillipsGeorge Mason UniversityPatvirtintas el. paštas gmu.edu
Ben AbbatematteoUniversity of Texas at AustinPatvirtintas el. paštas cs.utexas.edu

Stebėti

George Konidaris

Brown

Patvirtintas el. paštas cs.brown.edu - Pagrindinis puslapis

Artificial Intelligence Machine Learning Reinforcement Learning Robotics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	558	2011
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	444	2021
Skill discovery in continuous reinforcement learning domains using skill chaining G Konidaris, A Barto Advances in Neural Information Processing Systems, 1015-1023, 2009	397	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	392	2012
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	372	2018
Learning multi-level hierarchies with hindsight A Levy, G Konidaris, R Platt, K Saenko The Seventh International Conference on Learning Representations, 2019	354	2019
Building portable options: Skill transfer in reinforcement learning. GD Konidaris, AG Barto Ijcai 7, 895-900, 2007	348	2007
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	332	2012
Autonomous shaping: Knowledge transfer in reinforcement learning G Konidaris, A Barto Proceedings of the 23rd international conference on Machine learning, 489-496, 2006	302	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	267	2015
Reinforcement learning with parameterized actions W Masson, P Ranchod, G Konidaris Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	259	2016
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	252	2012
Learning parameterized skills B Da Silva, G Konidaris, A Barto Proceedings of the Twenty Ninth International Conference on Machine Learning …, 2012	230	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	204	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	162	2019
Robot motion planning on a chip. S Murray, W Floyd-Jones, Y Qi, DJ Sorin, GD Konidaris Robotics: Science and Systems 6, 2016	159	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	151	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	147	2016
Option discovery using deep skill chaining A Bagaria, G Konidaris Eight International Conference on Learning Representations, 2020	140	2020
Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays E Rosen, D Whitney, E Phillips, G Chien, J Tompkin, G Konidaris, S Tellex The International Journal of Robotics Research 38 (12-13), 1513-1526, 2019	136	2019

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