Laura Graesser

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Citations	329	328
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Pannag R SanketiGoogle Deepmind, RoboticsVerified email at google.com
Saminda AbeyruwanUniversity of MiamiVerified email at cs.miami.edu
Krzysztof ChoromanskiGoogle Brain Robotics New York & Columbia UniversityVerified email at columbia.edu
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Douwe KielaContextual AI, Stanford UniversityVerified email at stanford.edu
Alex BewleyGoogle DeepMindVerified email at google.com
Avi SinghGoogle BrainVerified email at google.com
Wenbo GaoColumbia UniversityVerified email at columbia.edu
Nevena LazicDeepMindVerified email at google.com
Vikas SindhwaniGoogle DeepMind RoboticsVerified email at google.com
Navdeep JaitlyResearch Scientist, Apple Machine Learning ResearchVerified email at cs.toronto.edu
Xingyou (Richard) SongSenior Research Scientist, Google DeepMindVerified email at google.com
Utku EvciResearcher @Google DeepmindVerified email at nyu.edu
Pablo Samuel CastroGoogleVerified email at google.com
Erich ElsenPersimmon AI LabsVerified email at persimmonailabs.com
Milan CvitkovicCaltechVerified email at caltech.edu
Aleksandra FaustGoogle DeepMind, Mountain View, CAVerified email at google.com
Lydia TapiaAssociate Professor of Computer Science, University of New MexicoVerified email at cs.unm.edu
Hadas Kress-GazitCornell UniversityVerified email at cornell.edu
Wah Loon Keng

Laura Graesser

Robotics at Google

Verified email at google.com

robotics reinforcement learning emergent communication


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Foundations of deep reinforcement learning: theory and practice in Python L Graesser, WL Keng Addison-Wesley Professional, 2019	140	2019
Emergent linguistic phenomena in multi-agent communication games L Graesser, K Cho, D Kiela Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019	72	2019
i-sim2real: Reinforcement learning of robotic policies in tight human-robot interaction loops SW Abeyruwan, L Graesser, DB D’Ambrosio, A Singh, A Shankar, ... Conference on Robot Learning, 212-224, 2022	32	2022
Robotic table tennis with model-free reinforcement learning W Gao, L Graesser, K Choromanski, X Song, N Lazic, P Sanketi, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020	31	2020
The state of sparse training in deep reinforcement learning L Graesser, U Evci, E Elsen, PS Castro International Conference on Machine Learning, 7766-7792, 2022	21	2022
Slm lab: A comprehensive benchmark and modular software framework for reproducible deep reinforcement learning KW Loon, L Graesser, M Cvitkovic arXiv preprint arXiv:1912.12482, 2019	17*	2019
Learning high speed precision table tennis on a physical robot T Ding, L Graesser, S Abeyruwan, DB D'Ambrosio, A Shankar, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	8*	2022
Robotic table tennis: A case study into a high speed learning system DB D'Ambrosio, J Abelian, S Abeyruwan, M Ahn, A Bewley, J Boyd, ... Robotics Science and Systems (RSS), 2023, 2023	5	2023
Gender Diversity of Conference Leadership [Women in Engineering] L Graesser, A Faust, H Kress-Gazit, L Tapia, R Ulinski IEEE Robotics & Automation Magazine 28 (2), 126-130, 2021	3	2021
A dual-receptor model of serotonergic psychedelics: therapeutic insights from simulated cortical dynamics A Juliani, V Chelu, L Graesser, A Safron bioRxiv, 2024.04. 12.589282, 2024		2024

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