Jonathan N. Lee

Citirano

	Sve	Od 2020.
Citati	928	785
H-indeks	14	14
i10-indeks	15	15

240

120

180

20172018201920202021202220232024202526 58 51 90 111 134 177 231 41

Javni pristup

Prikaži sve

15 članaka

0 članaka

dostupno

nije dostupno

Na temelju uvjeta financiranja

Suautori

Ken GoldbergProfessor, UC Berkeley and UCSFPotvrđena adresa e-pošte na berkeley.edu
Aldo PacchianoBoston University and Broad Institute of MIT and HarvardPotvrđena adresa e-pošte na bu.edu
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Roy FoxAssistant Professor, UC IrvinePotvrđena adresa e-pošte na uci.edu
Anca D DraganAssistant Professor at UC Berkeley // Director, AI Safety and Alignment, Google DeepMindPotvrđena adresa e-pošte na berkeley.edu
Ofir NachumOpenAIPotvrđena adresa e-pošte na openai.com
Ajay TanwaniResearch Lead, BoschPotvrđena adresa e-pošte na google.com
Jeff MahlerAmbi RoboticsPotvrđena adresa e-pošte na berkeley.edu
Sanjay KrishnanUniversity of ChicagoPotvrđena adresa e-pošte na cs.uchicago.edu
Aadirupa SahaResearch Scientist, Apple ML Research, CupertinoPotvrđena adresa e-pošte na ttic.edu
Chelsea FinnStanford University, Physical IntelligencePotvrđena adresa e-pošte na cs.stanford.edu
Yash ChandakPostdoctoral Scholar, Stanford UniversityPotvrđena adresa e-pošte na stanford.edu
George TuckerGoogle DeepMindPotvrđena adresa e-pošte na google.com
Weihao KongGooglePotvrđena adresa e-pošte na google.com
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyPotvrđena adresa e-pošte na kth.se
Brijen ThananjeyanSenior Research Scientist, Ambi RoboticsPotvrđena adresa e-pošte na ambirobotics.com
Kevin JamiesonAssociate Professor, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Bo DaiGoogle Brain & Georgia TechPotvrđena adresa e-pošte na google.com
Ching-An ChengMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
Byron BootsAssociate Professor, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu

Prati

Jonathan N. Lee

Ostala imenaJonathan Lee

Stanford University

Potvrđena adresa e-pošte na stanford.edu - Početna stranica

Machine Learning Reinforcement Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
DART: Noise Injection for Robust Imitation Learning M Laskey, J Lee, R Fox, A Dragan, K Goldberg Conference on Robot Learning, 143-156, 2017	307	2017
Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations M Laskey, J Lee, C Chuck, D Gealy, W Hsieh, FT Pokorny, AD Dragan, ... 2016 IEEE International Conference on Automation Science and Engineering …, 2016	104	2016
Dueling RL: Reinforcement Learning with Trajectory Preferences A Saha, A Pacchiano, J Lee International Conference on Artificial Intelligence and Statistics, 6263-6289, 2023	90*	2023
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations M Laskey, C Chuck, J Lee, J Mahler, S Krishnan, K Jamieson, A Dragan, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 358-365, 2017	87	2017
Supervised Pretraining Can Learn In-Context Reinforcement Learning JN Lee, A Xie, A Pacchiano, Y Chandak, C Finn, O Nachum, E Brunskill arXiv preprint arXiv:2306.14892, 2023	75	2023
Online model selection for reinforcement learning with function approximation J Lee, A Pacchiano, V Muthukumar, W Kong, E Brunskill International Conference on Artificial Intelligence and Statistics, 3340-3348, 2021	46	2021
Design of experiments for stochastic contextual linear bandits A Zanette, K Dong, JN Lee, E Brunskill Advances in Neural Information Processing Systems 34, 22720-22731, 2021	32	2021
Learning in pomdps is sample-efficient with hindsight observability J Lee, A Agarwal, C Dann, T Zhang International Conference on Machine Learning, 18733-18773, 2023	26	2023
On-policy robot imitation learning from a converging supervisor A Balakrishna, B Thananjeyan, J Lee, F Li, A Zahed, JE Gonzalez, ... Conference on Robot Learning, 24-41, 2020	26	2020
Online learning with continuous variations: Dynamic regret and reductions CA Cheng, J Lee, K Goldberg, B Boots International Conference on Artificial Intelligence and Statistics, 2218-2228, 2020	21	2020
Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning JN Lee, M Laskey, AK Tanwani, A Aswani, K Goldberg The International Journal of Robotics Research 40 (10-11), 1284-1305, 2021	16*	2021
Oracle inequalities for model selection in offline reinforcement learning JN Lee, G Tucker, O Nachum, B Dai, E Brunskill Advances in Neural Information Processing Systems 35, 28194-28207, 2022	15	2022
Model selection in batch policy optimization J Lee, G Tucker, O Nachum, B Dai International Conference on Machine Learning, 12542-12569, 2022	15	2022
Sequential robot imitation learning from observations AK Tanwani, A Yan, J Lee, S Calinon, K Goldberg The International Journal of Robotics Research 40 (10-11), 1306-1325, 2021	15	2021
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models AK Tanwani, J Lee, B Thananjeyan, M Laskey, S Krishnan, R Fox, ... arXiv preprint arXiv:1811.07489, 2018	14	2018
Near optimal policy optimization via REPS A Pacchiano, JN Lee, P Bartlett, O Nachum Advances in Neural Information Processing Systems 34, 1100-1110, 2021	8	2021
Improved Estimator Selection for Off-Policy Evaluation G Tucker, J Lee Workshop on Reinforcement Learning Theory at the 38th International …, 2021	8	2021
Simple Regret Minimization for Contextual Bandits Using Bayesian Optimal Experimental Design M Jörke, J Lee, E Brunskill	6*
Experiment planning with function approximation A Pacchiano, J Lee, E Brunskill Advances in Neural Information Processing Systems 36, 2024	5	2024
Continuous online learning and new insights to online imitation learning J Lee, CA Cheng, K Goldberg, B Boots arXiv preprint arXiv:1912.01261, 2019	4	2019

Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.

Članci 1–20

Godišnji broj citata

Dvostruki navodi

Spojeni navodi

Dodavanje suautoraSuautori

Prati

Citirano

Suautori